Pandas Profiling Report

Dataset statistics

Number of variables	55
Number of observations	42350
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	75.3 MiB
Average record size in memory	1.8 KiB

Variable types

Numeric	28
Categorical	26
Boolean	1

Warnings

`int_rate` has a high cardinality: 394 distinct values	High cardinality
`emp_title` has a high cardinality: 30537 distinct values	High cardinality
`issue_d` has a high cardinality: 55 distinct values	High cardinality
`desc` has a high cardinality: 28833 distinct values	High cardinality
`title` has a high cardinality: 21173 distinct values	High cardinality
`zip_code` has a high cardinality: 836 distinct values	High cardinality
`earliest_cr_line` has a high cardinality: 530 distinct values	High cardinality
`revol_util` has a high cardinality: 1119 distinct values	High cardinality
`last_pymnt_d` has a high cardinality: 112 distinct values	High cardinality
`last_credit_pull_d` has a high cardinality: 133 distinct values	High cardinality
`loan_amnt` is highly correlated with `funded_amnt` and 2 other fields	High correlation
`funded_amnt` is highly correlated with `loan_amnt` and 3 other fields	High correlation
`funded_amnt_inv` is highly correlated with `loan_amnt` and 2 other fields	High correlation
`installment` is highly correlated with `loan_amnt` and 1 other fields	High correlation
`fico_range_low` is highly correlated with `fico_range_high`	High correlation
`fico_range_high` is highly correlated with `fico_range_low`	High correlation
`total_pymnt` is highly correlated with `funded_amnt` and 2 other fields	High correlation
`total_pymnt_inv` is highly correlated with `funded_amnt_inv` and 2 other fields	High correlation
`total_rec_prncp` is highly correlated with `total_pymnt` and 1 other fields	High correlation
`grade_new` is highly correlated with `int_rate_new`	High correlation
`int_rate_new` is highly correlated with `grade_new`	High correlation
`grade` is highly correlated with `sub_grade`	High correlation
`term_new` is highly correlated with `term`	High correlation
`home_ownership_new` is highly correlated with `home_ownership`	High correlation
`loan_status` is highly correlated with `loan_status_new`	High correlation
`home_ownership` is highly correlated with `home_ownership_new`	High correlation
`sub_grade` is highly correlated with `grade`	High correlation
`verification_status_new` is highly correlated with `verification_status`	High correlation
`loan_status_new` is highly correlated with `loan_status`	High correlation
`term` is highly correlated with `term_new`	High correlation
`verification_status` is highly correlated with `verification_status_new`	High correlation
`annual_inc` is highly skewed (γ1 = 29.09932812)	Skewed
`collection_recovery_fee` is highly skewed (γ1 = 22.55504187)	Skewed
`Unnamed: 0` is uniformly distributed	Uniform
`Unnamed: 0` has unique values	Unique
`delinq_2yrs` has 37632 (88.9%) zeros	Zeros
`inq_last_6mths` has 19606 (46.3%) zeros	Zeros
`pub_rec` has 39984 (94.4%) zeros	Zeros
`revol_bal` has 1028 (2.4%) zeros	Zeros
`total_rec_late_fee` has 39972 (94.4%) zeros	Zeros
`recoveries` has 36077 (85.2%) zeros	Zeros
`collection_recovery_fee` has 38100 (90.0%) zeros	Zeros
`last_fico_range_low` has 773 (1.8%) zeros	Zeros
`emp_length_new` has 5017 (11.8%) zeros	Zeros

Reproduction

Analysis started	2021-03-22 12:17:23.949546
Analysis finished	2021-03-22 12:19:34.403952
Duration	2 minutes and 10.45 seconds
Software version	pandas-profiling v2.11.0
Download configuration	config.yaml

Unnamed: 0
Real number (ℝ_≥0)

UNIFORM
UNIQUE

Distinct	42350
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	21230.35955
Minimum	0
Maximum	42514
Zeros	1
Zeros (%)	< 0.1%
Memory size	331.0 KiB

Quantile statistics

Minimum	0
5-th percentile	2118.45
Q1	10606.25
median	21220.5
Q3	31846.75
95-th percentile	40364.55
Maximum	42514
Range	42514
Interquartile range (IQR)	21240.5

Descriptive statistics

Standard deviation	12266.4043
Coefficient of variation (CV)	0.577776569
Kurtosis	-1.199107321
Mean	21230.35955
Median Absolute Deviation (MAD)	10620.5
Skewness	0.001894126477
Sum	899105727
Variance	150464674.5
Monotocity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2047	1	< 0.1%
36187	1	< 0.1%
40281	1	< 0.1%
38232	1	< 0.1%
11599	1	< 0.1%
9550	1	< 0.1%
15693	1	< 0.1%
13644	1	< 0.1%
3403	1	< 0.1%
1354	1	< 0.1%
Other values (42340)	42340	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
42514	1	< 0.1%
42513	1	< 0.1%
42512	1	< 0.1%
42511	1	< 0.1%
42508	1	< 0.1%
42507	1	< 0.1%
42506	1	< 0.1%
42505	1	< 0.1%
42504	1	< 0.1%
42503	1	< 0.1%

loan_amnt
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	897
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	11109.21192
Minimum	500
Maximum	35000
Zeros	0
Zeros (%)	0.0%
Memory size	331.0 KiB

Quantile statistics

Minimum	500
5-th percentile	2400
Q1	5200
median	9800
Q3	15000
95-th percentile	25000
Maximum	35000
Range	34500
Interquartile range (IQR)	9800

Descriptive statistics

Standard deviation	7409.408311
Coefficient of variation (CV)	0.6669607495
Kurtosis	0.7839741968
Mean	11109.21192
Median Absolute Deviation (MAD)	4800
Skewness	1.063773126
Sum	470475125
Variance	54899331.52
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	3008	7.1%
12000	2436	5.8%
5000	2246	5.3%
6000	2033	4.8%
15000	2010	4.7%
20000	1717	4.1%
8000	1690	4.0%
25000	1495	3.5%
4000	1224	2.9%
3000	1123	2.7%
Other values (887)	23368	55.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
500	11	< 0.1%
550	1	< 0.1%
600	6	< 0.1%
700	2	< 0.1%
725	1	< 0.1%
750	1	< 0.1%
800	3	< 0.1%
850	1	< 0.1%
900	4	< 0.1%
925	1	< 0.1%

Value	Count	Frequency (%)
35000	684	1.6%
34800	2	< 0.1%
34675	1	< 0.1%
34525	1	< 0.1%
34475	5	< 0.1%
34200	1	< 0.1%
34000	15	< 0.1%
33950	9	< 0.1%
33600	6	< 0.1%
33500	2	< 0.1%

funded_amnt
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	1050
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	10840.21133
Minimum	500
Maximum	35000
Zeros	0
Zeros (%)	0.0%
Memory size	331.0 KiB

Quantile statistics

Minimum	500
5-th percentile	2361.25
Q1	5100
median	9600
Q3	15000
95-th percentile	25000
Maximum	35000
Range	34500
Interquartile range (IQR)	9900

Descriptive statistics

Standard deviation	7145.056871
Coefficient of variation (CV)	0.6591252376
Kurtosis	0.9465127899
Mean	10840.21133
Median Absolute Deviation (MAD)	4600
Skewness	1.084671048
Sum	459082950
Variance	51051837.7
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	2916	6.9%
12000	2344	5.5%
5000	2233	5.3%
6000	2019	4.8%
15000	1895	4.5%
8000	1677	4.0%
20000	1539	3.6%
4000	1224	2.9%
25000	1220	2.9%
3000	1114	2.6%
Other values (1040)	24169	57.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
500	11	< 0.1%
550	1	< 0.1%
600	6	< 0.1%
700	2	< 0.1%
725	1	< 0.1%
750	1	< 0.1%
800	3	< 0.1%
850	1	< 0.1%
900	4	< 0.1%
925	1	< 0.1%

Value	Count	Frequency (%)
35000	558	1.3%
34800	1	< 0.1%
34675	2	< 0.1%
34525	1	< 0.1%
34475	4	< 0.1%
34250	1	< 0.1%
34000	14	< 0.1%
33950	6	< 0.1%
33600	6	< 0.1%
33500	1	< 0.1%

funded_amnt_inv
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	9230
Distinct (%)	21.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	10162.36456
Minimum	0
Maximum	35000
Zeros	224
Zeros (%)	0.5%
Memory size	331.0 KiB

Quantile statistics

Minimum	0
5-th percentile	1500
Q1	4964.289886
median	8500
Q3	14000
95-th percentile	24600
Maximum	35000
Range	35000
Interquartile range (IQR)	9035.710114

Descriptive statistics

Standard deviation	7129.98979
Coefficient of variation (CV)	0.7016073619
Kurtosis	1.06729035
Mean	10162.36456
Median Absolute Deviation (MAD)	4200
Skewness	1.103832594
Sum	430376139.1
Variance	50836754.41
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5000	1366	3.2%
10000	1300	3.1%
6000	1240	2.9%
12000	1084	2.6%
8000	924	2.2%
4000	848	2.0%
3000	846	2.0%
15000	664	1.6%
7000	613	1.4%
2000	479	1.1%
Other values (9220)	32986	77.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	224	0.5%
0.000121098108	1	< 0.1%
0.000185369401	1	< 0.1%
0.000531133069	1	< 0.1%
0.000571783038	1	< 0.1%
0.000654606955	1	< 0.1%
0.00089969728	1	< 0.1%
0.000922030107	1	< 0.1%
0.001083609677	1	< 0.1%
0.00112345745	1	< 0.1%

Value	Count	Frequency (%)
35000	135	0.3%
34997.35245	1	< 0.1%
34993.65539	1	< 0.1%
34993.32571	1	< 0.1%
34993.26306	1	< 0.1%
34993.19696	1	< 0.1%
34990.4308	1	< 0.1%
34987.98452	1	< 0.1%
34987.27101	1	< 0.1%
34977.34674	1	< 0.1%

term
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.7 MiB

36 months	31374
60 months	10976

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	423500
Distinct characters	10
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	36 months
2nd row	60 months
3rd row	36 months
4th row	36 months
5th row	60 months

Value	Count	Frequency (%)
36 months	31374	74.1%
60 months	10976	25.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
months	42350	50.0%
36	31374	37.0%
60	10976	13.0%

Most occurring characters

Value	Count	Frequency (%)
	84700	20.0%
6	42350	10.0%
m	42350	10.0%
o	42350	10.0%
n	42350	10.0%
t	42350	10.0%
h	42350	10.0%
s	42350	10.0%
3	31374	7.4%
0	10976	2.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	254100	60.0%
Space Separator	84700	20.0%
Decimal Number	84700	20.0%

Most frequent character per category

Value	Count	Frequency (%)
m	42350	16.7%
o	42350	16.7%
n	42350	16.7%
t	42350	16.7%
h	42350	16.7%
s	42350	16.7%

Value	Count	Frequency (%)
6	42350	50.0%
3	31374	37.0%
0	10976	13.0%

Value	Count	Frequency (%)
	84700	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	254100	60.0%
Common	169400	40.0%

Most frequent character per script

Value	Count	Frequency (%)
m	42350	16.7%
o	42350	16.7%
n	42350	16.7%
t	42350	16.7%
h	42350	16.7%
s	42350	16.7%

Value	Count	Frequency (%)
	84700	50.0%
6	42350	25.0%
3	31374	18.5%
0	10976	6.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	423500	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	84700	20.0%
6	42350	10.0%
m	42350	10.0%
o	42350	10.0%
n	42350	10.0%
t	42350	10.0%
h	42350	10.0%
s	42350	10.0%
3	31374	7.4%
0	10976	2.6%

int_rate
Categorical

HIGH CARDINALITY

Distinct	394
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

10.99%	970
11.49%	831
13.49%	830
7.51%	786
7.88%	742
Other values (389)	38191

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	296450
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13 ?
Unique (%)	< 0.1%

Sample

1st row	10.65%
2nd row	15.27%
3rd row	15.96%
4th row	13.49%
5th row	12.69%

Value	Count	Frequency (%)
10.99%	970	2.3%
11.49%	831	2.0%
13.49%	830	2.0%
7.51%	786	1.9%
7.88%	742	1.8%
7.49%	656	1.5%
11.71%	609	1.4%
9.99%	607	1.4%
7.90%	582	1.4%
5.42%	573	1.4%
Other values (384)	35164	83.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
10.99	970	2.3%
11.49	831	2.0%
13.49	830	2.0%
7.51	786	1.9%
7.88	742	1.8%
7.49	656	1.5%
11.71	609	1.4%
9.99	607	1.4%
7.90	582	1.4%
5.42	573	1.4%
Other values (384)	35164	83.0%

Most occurring characters

Value	Count	Frequency (%)
	54660	18.4%
.	42350	14.3%
%	42350	14.3%
1	41385	14.0%
9	22572	7.6%
2	13665	4.6%
6	12819	4.3%
7	12789	4.3%
4	11962	4.0%
3	10890	3.7%
Other values (3)	31008	10.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	157090	53.0%
Other Punctuation	84700	28.6%
Space Separator	54660	18.4%

Most frequent character per category

Value	Count	Frequency (%)
1	41385	26.3%
9	22572	14.4%
2	13665	8.7%
6	12819	8.2%
7	12789	8.1%
4	11962	7.6%
3	10890	6.9%
5	10860	6.9%
8	10290	6.6%
0	9858	6.3%

Value	Count	Frequency (%)
.	42350	50.0%
%	42350	50.0%

Value	Count	Frequency (%)
	54660	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	296450	100.0%

Most frequent character per script

Value	Count	Frequency (%)
	54660	18.4%
.	42350	14.3%
%	42350	14.3%
1	41385	14.0%
9	22572	7.6%
2	13665	4.6%
6	12819	4.3%
7	12789	4.3%
4	11962	4.0%
3	10890	3.7%
Other values (3)	31008	10.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	296450	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	54660	18.4%
.	42350	14.3%
%	42350	14.3%
1	41385	14.0%
9	22572	7.6%
2	13665	4.6%
6	12819	4.3%
7	12789	4.3%
4	11962	4.0%
3	10890	3.7%
Other values (3)	31008	10.5%

installment
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	16398
Distinct (%)	38.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	323.124979
Minimum	15.67
Maximum	1305.19
Zeros	0
Zeros (%)	0.0%
Memory size	331.0 KiB

Quantile statistics

Minimum	15.67
5-th percentile	70.0335
Q1	165.74
median	278.41
Q3	428.9075
95-th percentile	762.08
Maximum	1305.19
Range	1289.52
Interquartile range (IQR)	263.1675

Descriptive statistics

Standard deviation	208.8720333
Coefficient of variation (CV)	0.6464125241
Kurtosis	1.204866192
Mean	323.124979
Median Absolute Deviation (MAD)	122.66
Skewness	1.124462048
Sum	13684342.86
Variance	43627.52628
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
311.11	68	0.2%
180.96	59	0.1%
311.02	54	0.1%
150.8	48	0.1%
368.45	46	0.1%
372.12	45	0.1%
330.76	43	0.1%
339.31	42	0.1%
317.72	42	0.1%
186.61	41	0.1%
Other values (16388)	41862	98.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
15.67	1	< 0.1%
15.69	1	< 0.1%
15.75	1	< 0.1%
15.76	1	< 0.1%
15.91	1	< 0.1%
16.08	1	< 0.1%
16.25	1	< 0.1%
16.31	1	< 0.1%
16.47	1	< 0.1%
16.73	1	< 0.1%

Value	Count	Frequency (%)
1305.19	1	< 0.1%
1302.69	1	< 0.1%
1295.21	1	< 0.1%
1288.1	2	< 0.1%
1283.5	1	< 0.1%
1276.6	3	< 0.1%
1272.2	1	< 0.1%
1269.73	5	< 0.1%
1265.16	1	< 0.1%
1263.23	1	< 0.1%

grade
Categorical

HIGH CORRELATION

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

B	12355
A	10163
C	8689
D	5975
E	3369
Other values (2)	1799

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	42350
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	B
2nd row	C
3rd row	C
4th row	C
5th row	B

Value	Count	Frequency (%)
B	12355	29.2%
A	10163	24.0%
C	8689	20.5%
D	5975	14.1%
E	3369	8.0%
F	1292	3.1%
G	507	1.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
b	12355	29.2%
a	10163	24.0%
c	8689	20.5%
d	5975	14.1%
e	3369	8.0%
f	1292	3.1%
g	507	1.2%

Most occurring characters

Value	Count	Frequency (%)
B	12355	29.2%
A	10163	24.0%
C	8689	20.5%
D	5975	14.1%
E	3369	8.0%
F	1292	3.1%
G	507	1.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	42350	100.0%

Most frequent character per category

Value	Count	Frequency (%)
B	12355	29.2%
A	10163	24.0%
C	8689	20.5%
D	5975	14.1%
E	3369	8.0%
F	1292	3.1%
G	507	1.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	42350	100.0%

Most frequent character per script

Value	Count	Frequency (%)
B	12355	29.2%
A	10163	24.0%
C	8689	20.5%
D	5975	14.1%
E	3369	8.0%
F	1292	3.1%
G	507	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	42350	100.0%

Most frequent character per block

Value	Count	Frequency (%)
B	12355	29.2%
A	10163	24.0%
C	8689	20.5%
D	5975	14.1%
E	3369	8.0%
F	1292	3.1%
G	507	1.2%

sub_grade
Categorical

HIGH CORRELATION

Distinct	35
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.4 MiB

B3	2992
A4	2904
B5	2799
A5	2786
B4	2578
Other values (30)	28291

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	84700
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	B2
2nd row	C4
3rd row	C5
4th row	C1
5th row	B5

Value	Count	Frequency (%)
B3	2992	7.1%
A4	2904	6.9%
B5	2799	6.6%
A5	2786	6.6%
B4	2578	6.1%
C1	2256	5.3%
C2	2143	5.1%
B2	2107	5.0%
B1	1879	4.4%
A3	1817	4.3%
Other values (25)	18089	42.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
b3	2992	7.1%
a4	2904	6.9%
b5	2799	6.6%
a5	2786	6.6%
b4	2578	6.1%
c1	2256	5.3%
c2	2143	5.1%
b2	2107	5.0%
b1	1879	4.4%
a3	1817	4.3%
Other values (25)	18089	42.7%

Most occurring characters

Value	Count	Frequency (%)
B	12355	14.6%
A	10163	12.0%
4	8833	10.4%
3	8744	10.3%
C	8689	10.3%
5	8605	10.2%
2	8440	10.0%
1	7728	9.1%
D	5975	7.1%
E	3369	4.0%
Other values (2)	1799	2.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	42350	50.0%
Decimal Number	42350	50.0%

Most frequent character per category

Value	Count	Frequency (%)
B	12355	29.2%
A	10163	24.0%
C	8689	20.5%
D	5975	14.1%
E	3369	8.0%
F	1292	3.1%
G	507	1.2%

Value	Count	Frequency (%)
4	8833	20.9%
3	8744	20.6%
5	8605	20.3%
2	8440	19.9%
1	7728	18.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	42350	50.0%
Common	42350	50.0%

Most frequent character per script

Value	Count	Frequency (%)
B	12355	29.2%
A	10163	24.0%
C	8689	20.5%
D	5975	14.1%
E	3369	8.0%
F	1292	3.1%
G	507	1.2%

Value	Count	Frequency (%)
4	8833	20.9%
3	8744	20.6%
5	8605	20.3%
2	8440	19.9%
1	7728	18.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	84700	100.0%

Most frequent character per block

Value	Count	Frequency (%)
B	12355	14.6%
A	10163	12.0%
4	8833	10.4%
3	8744	10.3%
C	8689	10.3%
5	8605	10.2%
2	8440	10.0%
1	7728	9.1%
D	5975	7.1%
E	3369	4.0%
Other values (2)	1799	2.1%

emp_title
Categorical

HIGH CARDINALITY

Distinct	30537
Distinct (%)	72.1%
Missing	0
Missing (%)	0.0%
Memory size	3.0 MiB

US Army	2735
Bank of America	115
IBM	72
AT&T	61
Kaiser Permanente	61
Other values (30532)	39306

Length

Max length	78
Median length	17
Mean length	17.65227863
Min length	2

Characters and Unicode

Total characters	747574
Distinct characters	96
Distinct categories	15 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	27076 ?
Unique (%)	63.9%

Sample

1st row	US Army
2nd row	Ryder
3rd row	US Army
4th row	AIR RESOURCES BOARD
5th row	University Medical Group

Value	Count	Frequency (%)
US Army	2735	6.5%
Bank of America	115	0.3%
IBM	72	0.2%
AT&T	61	0.1%
Kaiser Permanente	61	0.1%
UPS	57	0.1%
Wells Fargo	57	0.1%
USAF	56	0.1%
US Air Force	55	0.1%
Self Employed	49	0.1%
Other values (30527)	39032	92.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
inc	3393	3.0%
us	3291	2.9%
of	3194	2.8%
army	3035	2.7%
	1275	1.1%
and	1033	0.9%
services	866	0.8%
center	863	0.8%
bank	848	0.8%
county	844	0.8%
Other values (19677)	93729	83.4%

Most occurring characters

Value	Count	Frequency (%)
	71540	9.6%
e	59721	8.0%
a	46624	6.2%
n	45427	6.1%
r	45330	6.1%
o	45298	6.1%
i	43084	5.8%
t	41044	5.5%
s	32366	4.3%
l	27583	3.7%
Other values (86)	289557	38.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	529016	70.8%
Uppercase Letter	135179	18.1%
Space Separator	71540	9.6%
Other Punctuation	9348	1.3%
Dash Punctuation	1093	0.1%
Decimal Number	1021	0.1%
Open Punctuation	172	< 0.1%
Close Punctuation	169	< 0.1%
Math Symbol	23	< 0.1%
Currency Symbol	3	< 0.1%
Other values (5)	10	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
S	16791	12.4%
C	15492	11.5%
A	12061	8.9%
I	8053	6.0%
M	6931	5.1%
U	6626	4.9%
P	6445	4.8%
T	6103	4.5%
L	5959	4.4%
E	5624	4.2%
Other values (18)	45094	33.4%

Value	Count	Frequency (%)
e	59721	11.3%
a	46624	8.8%
n	45427	8.6%
r	45330	8.6%
o	45298	8.6%
i	43084	8.1%
t	41044	7.8%
s	32366	6.1%
l	27583	5.2%
c	24612	4.7%
Other values (17)	117927	22.3%

Value	Count	Frequency (%)
.	4534	48.5%
,	2334	25.0%
&	1373	14.7%
'	685	7.3%
/	333	3.6%
#	37	0.4%
@	10	0.1%
!	9	0.1%
:	9	0.1%
"	8	0.1%
Other values (5)	16	0.2%

Value	Count	Frequency (%)
1	202	19.8%
2	170	16.7%
3	161	15.8%
0	105	10.3%
4	99	9.7%
5	75	7.3%
9	67	6.6%
6	61	6.0%
7	46	4.5%
8	35	3.4%

Value	Count	Frequency (%)
+	20	87.0%
\|	2	8.7%
<	1	4.3%

Value	Count	Frequency (%)
(	171	99.4%
[	1	0.6%

Value	Count	Frequency (%)
	1	50.0%
	1	50.0%

Value	Count	Frequency (%)
$	2	66.7%
¢	1	33.3%

Value	Count	Frequency (%)
	71540	100.0%

Value	Count	Frequency (%)
-	1093	100.0%

Value	Count	Frequency (%)
)	169	100.0%

Value	Count	Frequency (%)
©	2	100.0%

Value	Count	Frequency (%)
`	2	100.0%

Value	Count	Frequency (%)
_	2	100.0%

Value	Count	Frequency (%)
²	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	664195	88.8%
Common	83379	11.2%

Most frequent character per script

Value	Count	Frequency (%)
e	59721	9.0%
a	46624	7.0%
n	45427	6.8%
r	45330	6.8%
o	45298	6.8%
i	43084	6.5%
t	41044	6.2%
s	32366	4.9%
l	27583	4.2%
c	24612	3.7%
Other values (45)	253106	38.1%

Value	Count	Frequency (%)
	71540	85.8%
.	4534	5.4%
,	2334	2.8%
&	1373	1.6%
-	1093	1.3%
'	685	0.8%
/	333	0.4%
1	202	0.2%
(	171	0.2%
2	170	0.2%
Other values (31)	944	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	747560	> 99.9%
None	14	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
	71540	9.6%
e	59721	8.0%
a	46624	6.2%
n	45427	6.1%
r	45330	6.1%
o	45298	6.1%
i	43084	5.8%
t	41044	5.5%
s	32366	4.3%
l	27583	3.7%
Other values (77)	289543	38.7%

Value	Count	Frequency (%)
Ã	3	21.4%
©	2	14.3%
Â	2	14.3%
²	2	14.3%
â	1	7.1%
	1	7.1%
¢	1	7.1%
	1	7.1%
¡	1	7.1%

emp_length
Categorical

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

10+ years	10456
< 1 year	5017
2 years	4728
3 years	4351
4 years	3631
Other values (6)	14167

Length

Max length	9
Median length	7
Mean length	7.527933884
Min length	6

Characters and Unicode

Total characters	318808
Distinct characters	18
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	10+ years
2nd row	< 1 year
3rd row	10+ years
4th row	10+ years
5th row	1 year

Value	Count	Frequency (%)
10+ years	10456	24.7%
< 1 year	5017	11.8%
2 years	4728	11.2%
3 years	4351	10.3%
4 years	3631	8.6%
1 year	3571	8.4%
5 years	3441	8.1%
6 years	2366	5.6%
7 years	1870	4.4%
8 years	1585	3.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
years	33762	37.6%
10	10456	11.7%
year	8588	9.6%
1	8588	9.6%
	5017	5.6%
2	4728	5.3%
3	4351	4.8%
4	3631	4.0%
5	3441	3.8%
6	2366	2.6%
Other values (3)	4789	5.3%

Most occurring characters

Value	Count	Frequency (%)
	47367	14.9%
y	42350	13.3%
e	42350	13.3%
a	42350	13.3%
r	42350	13.3%
s	33762	10.6%
1	19044	6.0%
0	10456	3.3%
+	10456	3.3%
<	5017	1.6%
Other values (8)	23306	7.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	203162	63.7%
Decimal Number	52806	16.6%
Space Separator	47367	14.9%
Math Symbol	15473	4.9%

Most frequent character per category

Value	Count	Frequency (%)
1	19044	36.1%
0	10456	19.8%
2	4728	9.0%
3	4351	8.2%
4	3631	6.9%
5	3441	6.5%
6	2366	4.5%
7	1870	3.5%
8	1585	3.0%
9	1334	2.5%

Value	Count	Frequency (%)
y	42350	20.8%
e	42350	20.8%
a	42350	20.8%
r	42350	20.8%
s	33762	16.6%

Value	Count	Frequency (%)
+	10456	67.6%
<	5017	32.4%

Value	Count	Frequency (%)
	47367	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	203162	63.7%
Common	115646	36.3%

Most frequent character per script

Value	Count	Frequency (%)
	47367	41.0%
1	19044	16.5%
0	10456	9.0%
+	10456	9.0%
<	5017	4.3%
2	4728	4.1%
3	4351	3.8%
4	3631	3.1%
5	3441	3.0%
6	2366	2.0%
Other values (3)	4789	4.1%

Value	Count	Frequency (%)
y	42350	20.8%
e	42350	20.8%
a	42350	20.8%
r	42350	20.8%
s	33762	16.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	318808	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	47367	14.9%
y	42350	13.3%
e	42350	13.3%
a	42350	13.3%
r	42350	13.3%
s	33762	10.6%
1	19044	6.0%
0	10456	3.3%
+	10456	3.3%
<	5017	1.6%
Other values (8)	23306	7.3%

home_ownership
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.5 MiB

RENT	20060
MORTGAGE	18917
OWN	3235
OTHER	134
NONE	4

Length

Max length	8
Median length	4
Mean length	5.713506494
Min length	3

Characters and Unicode

Total characters	241967
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	RENT
2nd row	RENT
3rd row	RENT
4th row	RENT
5th row	RENT

Value	Count	Frequency (%)
RENT	20060	47.4%
MORTGAGE	18917	44.7%
OWN	3235	7.6%
OTHER	134	0.3%
NONE	4	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
rent	20060	47.4%
mortgage	18917	44.7%
own	3235	7.6%
other	134	0.3%
none	4	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
E	39115	16.2%
R	39111	16.2%
T	39111	16.2%
G	37834	15.6%
N	23303	9.6%
O	22290	9.2%
M	18917	7.8%
A	18917	7.8%
W	3235	1.3%
H	134	0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	241967	100.0%

Most frequent character per category

Value	Count	Frequency (%)
E	39115	16.2%
R	39111	16.2%
T	39111	16.2%
G	37834	15.6%
N	23303	9.6%
O	22290	9.2%
M	18917	7.8%
A	18917	7.8%
W	3235	1.3%
H	134	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	241967	100.0%

Most frequent character per script

Value	Count	Frequency (%)
E	39115	16.2%
R	39111	16.2%
T	39111	16.2%
G	37834	15.6%
N	23303	9.6%
O	22290	9.2%
M	18917	7.8%
A	18917	7.8%
W	3235	1.3%
H	134	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	241967	100.0%

Most frequent character per block

Value	Count	Frequency (%)
E	39115	16.2%
R	39111	16.2%
T	39111	16.2%
G	37834	15.6%
N	23303	9.6%
O	22290	9.2%
M	18917	7.8%
A	18917	7.8%
W	3235	1.3%
H	134	0.1%

annual_inc
Real number (ℝ_≥0)

SKEWED

Distinct	5577
Distinct (%)	13.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	69204.0548
Minimum	1896
Maximum	6000000
Zeros	0
Zeros (%)	0.0%
Memory size	331.0 KiB

Quantile statistics

Minimum	1896
5-th percentile	24000
Q1	40000
median	59000
Q3	82500
95-th percentile	144000
Maximum	6000000
Range	5998104
Interquartile range (IQR)	42500

Descriptive statistics

Standard deviation	64132.84555
Coefficient of variation (CV)	0.9267209231
Kurtosis	2121.405527
Mean	69204.0548
Median Absolute Deviation (MAD)	20000
Skewness	29.09932812
Sum	2930791721
Variance	4113021878
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60000	1589	3.8%
50000	1112	2.6%
40000	932	2.2%
45000	892	2.1%
30000	879	2.1%
75000	863	2.0%
65000	840	2.0%
70000	787	1.9%
48000	763	1.8%
80000	715	1.7%
Other values (5567)	32978	77.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1896	1	< 0.1%
2000	1	< 0.1%
3300	1	< 0.1%
3500	1	< 0.1%
3600	1	< 0.1%
4000	2	< 0.1%
4080	1	< 0.1%
4200	1	< 0.1%
4500	1	< 0.1%
4800	3	< 0.1%

Value	Count	Frequency (%)
6000000	1	< 0.1%
3900000	1	< 0.1%
2039784	1	< 0.1%
1900000	1	< 0.1%
1782000	1	< 0.1%
1440000	2	< 0.1%
1362000	1	< 0.1%
1250000	1	< 0.1%
1200000	4	< 0.1%
1176000	1	< 0.1%

verification_status
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.8 MiB

Not Verified	18640
Verified	13434
Source Verified	10276

Length

Max length	15
Median length	12
Mean length	11.4590791
Min length	8

Characters and Unicode

Total characters	485292
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Verified
2nd row	Source Verified
3rd row	Not Verified
4th row	Source Verified
5th row	Source Verified

Value	Count	Frequency (%)
Not Verified	18640	44.0%
Verified	13434	31.7%
Source Verified	10276	24.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
verified	42350	59.4%
not	18640	26.2%
source	10276	14.4%

Most occurring characters

Value	Count	Frequency (%)
e	94976	19.6%
i	84700	17.5%
r	52626	10.8%
V	42350	8.7%
f	42350	8.7%
d	42350	8.7%
o	28916	6.0%
	28916	6.0%
N	18640	3.8%
t	18640	3.8%
Other values (3)	30828	6.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	385110	79.4%
Uppercase Letter	71266	14.7%
Space Separator	28916	6.0%

Most frequent character per category

Value	Count	Frequency (%)
e	94976	24.7%
i	84700	22.0%
r	52626	13.7%
f	42350	11.0%
d	42350	11.0%
o	28916	7.5%
t	18640	4.8%
u	10276	2.7%
c	10276	2.7%

Value	Count	Frequency (%)
V	42350	59.4%
N	18640	26.2%
S	10276	14.4%

Value	Count	Frequency (%)
	28916	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	456376	94.0%
Common	28916	6.0%

Most frequent character per script

Value	Count	Frequency (%)
e	94976	20.8%
i	84700	18.6%
r	52626	11.5%
V	42350	9.3%
f	42350	9.3%
d	42350	9.3%
o	28916	6.3%
N	18640	4.1%
t	18640	4.1%
S	10276	2.3%
Other values (2)	20552	4.5%

Value	Count	Frequency (%)
	28916	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	485292	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	94976	19.6%
i	84700	17.5%
r	52626	10.8%
V	42350	8.7%
f	42350	8.7%
d	42350	8.7%
o	28916	6.0%
	28916	6.0%
N	18640	3.8%
t	18640	3.8%
Other values (3)	30828	6.4%

issue_d
Categorical

HIGH CARDINALITY

Distinct	55
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

Dec-2011	2266
Nov-2011	2226
Oct-2011	2113
Sep-2011	2061
Aug-2011	1933
Other values (50)	31751

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	338800
Distinct characters	29
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Dec-2011
2nd row	Dec-2011
3rd row	Dec-2011
4th row	Dec-2011
5th row	Dec-2011

Value	Count	Frequency (%)
Dec-2011	2266	5.4%
Nov-2011	2226	5.3%
Oct-2011	2113	5.0%
Sep-2011	2061	4.9%
Aug-2011	1933	4.6%
Jul-2011	1866	4.4%
Jun-2011	1831	4.3%
May-2011	1700	4.0%
Apr-2011	1560	3.7%
Mar-2011	1441	3.4%
Other values (45)	23353	55.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
dec-2011	2266	5.4%
nov-2011	2226	5.3%
oct-2011	2113	5.0%
sep-2011	2061	4.9%
aug-2011	1933	4.6%
jul-2011	1866	4.4%
jun-2011	1831	4.3%
may-2011	1700	4.0%
apr-2011	1560	3.7%
mar-2011	1441	3.4%
Other values (45)	23353	55.1%

Most occurring characters

Value	Count	Frequency (%)
0	63025	18.6%
1	55829	16.5%
-	42350	12.5%
2	42350	12.5%
e	11120	3.3%
u	10838	3.2%
J	9728	2.9%
c	8844	2.6%
a	8747	2.6%
p	6917	2.0%
Other values (19)	79052	23.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	169400	50.0%
Lowercase Letter	84700	25.0%
Uppercase Letter	42350	12.5%
Dash Punctuation	42350	12.5%

Most frequent character per category

Value	Count	Frequency (%)
e	11120	13.1%
u	10838	12.8%
c	8844	10.4%
a	8747	10.3%
p	6917	8.2%
n	6057	7.2%
r	6041	7.1%
o	4423	5.2%
v	4423	5.2%
t	4166	4.9%
Other values (4)	13124	15.5%

Value	Count	Frequency (%)
J	9728	23.0%
A	6771	16.0%
M	6142	14.5%
D	4678	11.0%
N	4423	10.4%
O	4166	9.8%
S	3861	9.1%
F	2581	6.1%

Value	Count	Frequency (%)
0	63025	37.2%
1	55829	33.0%
2	42350	25.0%
9	5249	3.1%
8	2378	1.4%
7	569	0.3%

Value	Count	Frequency (%)
-	42350	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	211750	62.5%
Latin	127050	37.5%

Most frequent character per script

Value	Count	Frequency (%)
e	11120	8.8%
u	10838	8.5%
J	9728	7.7%
c	8844	7.0%
a	8747	6.9%
p	6917	5.4%
A	6771	5.3%
M	6142	4.8%
n	6057	4.8%
r	6041	4.8%
Other values (12)	45845	36.1%

Value	Count	Frequency (%)
0	63025	29.8%
1	55829	26.4%
-	42350	20.0%
2	42350	20.0%
9	5249	2.5%
8	2378	1.1%
7	569	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	338800	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	63025	18.6%
1	55829	16.5%
-	42350	12.5%
2	42350	12.5%
e	11120	3.3%
u	10838	3.2%
J	9728	2.9%
c	8844	2.6%
a	8747	2.6%
p	6917	2.0%
Other values (19)	79052	23.3%

loan_status
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.8 MiB

Fully Paid	34072
Charged Off	5584
Does not meet the credit policy. Status:Fully Paid	1952
Does not meet the credit policy. Status:Charged Off	742

Length

Max length	51
Median length	10
Mean length	12.6938843
Min length	10

Characters and Unicode

Total characters	537586
Distinct characters	27
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Fully Paid
2nd row	Charged Off
3rd row	Fully Paid
4th row	Fully Paid
5th row	Fully Paid

Value	Count	Frequency (%)
Fully Paid	34072	80.5%
Charged Off	5584	13.2%
Does not meet the credit policy. Status:Fully Paid	1952	4.6%
Does not meet the credit policy. Status:Charged Off	742	1.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
paid	36024	35.7%
fully	34072	33.8%
off	6326	6.3%
charged	5584	5.5%
meet	2694	2.7%
policy	2694	2.7%
does	2694	2.7%
the	2694	2.7%
credit	2694	2.7%
not	2694	2.7%
Other values (2)	2694	2.7%

Most occurring characters

Value	Count	Frequency (%)
l	74742	13.9%
	58514	10.9%
a	45044	8.4%
d	45044	8.4%
i	41412	7.7%
u	38718	7.2%
y	38718	7.2%
F	36024	6.7%
P	36024	6.7%
e	19796	3.7%
Other values (17)	103550	19.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	383596	71.4%
Uppercase Letter	90088	16.8%
Space Separator	58514	10.9%
Other Punctuation	5388	1.0%

Most frequent character per category

Value	Count	Frequency (%)
l	74742	19.5%
a	45044	11.7%
d	45044	11.7%
i	41412	10.8%
u	38718	10.1%
y	38718	10.1%
e	19796	5.2%
t	16164	4.2%
f	12652	3.3%
h	9020	2.4%
Other values (8)	42286	11.0%

Value	Count	Frequency (%)
F	36024	40.0%
P	36024	40.0%
C	6326	7.0%
O	6326	7.0%
D	2694	3.0%
S	2694	3.0%

Value	Count	Frequency (%)
.	2694	50.0%
:	2694	50.0%

Value	Count	Frequency (%)
	58514	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	473684	88.1%
Common	63902	11.9%

Most frequent character per script

Value	Count	Frequency (%)
l	74742	15.8%
a	45044	9.5%
d	45044	9.5%
i	41412	8.7%
u	38718	8.2%
y	38718	8.2%
F	36024	7.6%
P	36024	7.6%
e	19796	4.2%
t	16164	3.4%
Other values (14)	81998	17.3%

Value	Count	Frequency (%)
	58514	91.6%
.	2694	4.2%
:	2694	4.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	537586	100.0%

Most frequent character per block

Value	Count	Frequency (%)
l	74742	13.9%
	58514	10.9%
a	45044	8.4%
d	45044	8.4%
i	41412	7.7%
u	38718	7.2%
y	38718	7.2%
F	36024	6.7%
P	36024	6.7%
e	19796	3.7%
Other values (17)	103550	19.3%

desc
Categorical

HIGH CARDINALITY

Distinct	28833
Distinct (%)	68.1%
Missing	0
Missing (%)	0.0%
Memory size	14.2 MiB

	13463
Debt Consolidation	11
Camping Membership	8
refinancing	5
consolidate debt	3
Other values (28828)	28860

Length

Max length	3988
Median length	148
Mean length	291.5066588
Min length	1

Characters and Unicode

Total characters	12345307
Distinct characters	142
Distinct categories	17 ?
Distinct scripts	2 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	28801 ?
Unique (%)	68.0%

Sample

1st row	Borrower added on 12/22/11 > I need to upgrade my business technologies.<br>
2nd row	Borrower added on 12/22/11 > I plan to use this money to finance the motorcycle i am looking at. I plan to have it paid off as soon as possible/when i sell my old bike. I only need this money because the deal im looking at is to good to pass up.<br><br> Borrower added on 12/22/11 > I plan to use this money to finance the motorcycle i am looking at. I plan to have it paid off as soon as possible/when i sell my old bike.I only need this money because the deal im looking at is to good to pass up. I have finished college with an associates degree in business and its takingmeplaces<br>
3rd row
4th row	Borrower added on 12/21/11 > to pay for property tax (borrow from friend, need to pay back) & central A/C need to be replace. I'm very sorry to let my loan expired last time.<br>
5th row	Borrower added on 12/21/11 > I plan on combining three large interest bills together and freeing up some extra each month to pay toward other bills. I've always been a good payor but have found myself needing to make adjustments to my budget due to a medical scare. My job is very stable, I love it.<br>

Value	Count	Frequency (%)
	13463	31.8%
Debt Consolidation	11	< 0.1%
Camping Membership	8	< 0.1%
refinancing	5	< 0.1%
consolidate debt	3	< 0.1%
credit card consolidation	3	< 0.1%
Personal Loan	3	< 0.1%
credit card debt consolidation	3	< 0.1%
personal loan	3	< 0.1%
debt consolidation	3	< 0.1%
Other values (28823)	28845	68.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
i	84693	3.8%
to	77346	3.5%
a	59762	2.7%
and	59065	2.7%
the	58882	2.7%
my	55619	2.5%
on	51807	2.3%
	39040	1.8%
for	35338	1.6%
have	35037	1.6%
Other values (56623)	1661550	74.9%

Most occurring characters

Value	Count	Frequency (%)
	2307721	18.7%
e	1031955	8.4%
a	772858	6.3%
o	764579	6.2%
t	704519	5.7%
n	661771	5.4%
r	631880	5.1%
i	537842	4.4%
s	462167	3.7%
d	427352	3.5%
Other values (132)	4042663	32.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	8796758	71.3%
Space Separator	2307795	18.7%
Decimal Number	367380	3.0%
Other Punctuation	349350	2.8%
Uppercase Letter	327662	2.7%
Math Symbol	146103	1.2%
Currency Symbol	18129	0.1%
Dash Punctuation	14245	0.1%
Close Punctuation	7928	0.1%
Open Punctuation	7263	0.1%
Other values (7)	2694	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
I	102971	31.4%
B	36359	11.1%
T	30751	9.4%
A	16938	5.2%
M	15426	4.7%
C	15373	4.7%
S	10593	3.2%
E	10059	3.1%
W	9654	2.9%
L	9352	2.9%
Other values (21)	70186	21.4%

Value	Count	Frequency (%)
e	1031955	11.7%
a	772858	8.8%
o	764579	8.7%
t	704519	8.0%
n	661771	7.5%
r	631880	7.2%
i	537842	6.1%
s	462167	5.3%
d	427352	4.9%
l	385328	4.4%
Other values (18)	2416507	27.5%

Value	Count	Frequency (%)
.	130861	37.5%
/	121300	34.7%
,	54510	15.6%
'	14440	4.1%
!	7302	2.1%
%	6183	1.8%
:	5779	1.7%
;	3486	1.0%
&	2746	0.8%
"	913	0.3%
Other values (10)	1830	0.5%

Value	Count	Frequency (%)
	1307	60.3%
	422	19.5%
	200	9.2%
	38	1.8%
	37	1.7%
	30	1.4%
	29	1.3%
	25	1.2%
	24	1.1%
	15	0.7%
Other values (9)	39	1.8%

Value	Count	Frequency (%)
0	111519	30.4%
1	101332	27.6%
2	39001	10.6%
5	23119	6.3%
3	19032	5.2%
9	17399	4.7%
4	14540	4.0%
6	14047	3.8%
7	13734	3.7%
8	13657	3.7%

Value	Count	Frequency (%)
>	88128	60.3%
<	55923	38.3%
+	1051	0.7%
=	646	0.4%
~	317	0.2%
¬	28	< 0.1%
\|	10	< 0.1%

Value	Count	Frequency (%)
¦	93	80.2%
©	15	12.9%
�	6	5.2%
®	2	1.7%

Value	Count	Frequency (%)
(	7219	99.4%
[	41	0.6%
{	3	< 0.1%

Value	Count	Frequency (%)
)	7883	99.4%
]	41	0.5%
}	4	0.1%

Value	Count	Frequency (%)
-	14230	99.9%
–	10	0.1%
—	5	< 0.1%

Value	Count	Frequency (%)
`	13	68.4%
^	5	26.3%
¯	1	5.3%

Value	Count	Frequency (%)
	2307721	> 99.9%
	74	< 0.1%

Value	Count	Frequency (%)
$	18061	99.6%
¢	68	0.4%

Value	Count	Frequency (%)
½	7	87.5%
¾	1	12.5%

Value	Count	Frequency (%)
’	89	84.8%
”	16	15.2%

Value	Count	Frequency (%)
“	16	84.2%
‘	3	15.8%

Value	Count	Frequency (%)
_	261	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	9124420	73.9%
Common	3220887	26.1%

Most frequent character per script

Value	Count	Frequency (%)
	2307721	71.6%
.	130861	4.1%
/	121300	3.8%
0	111519	3.5%
1	101332	3.1%
>	88128	2.7%
<	55923	1.7%
,	54510	1.7%
2	39001	1.2%
5	23119	0.7%
Other values (73)	187473	5.8%

Value	Count	Frequency (%)
e	1031955	11.3%
a	772858	8.5%
o	764579	8.4%
t	704519	7.7%
n	661771	7.3%
r	631880	6.9%
i	537842	5.9%
s	462167	5.1%
d	427352	4.7%
l	385328	4.2%
Other values (49)	2744169	30.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12343296	> 99.9%
None	1836	< 0.1%
Punctuation	169	< 0.1%
Specials	6	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
	2307721	18.7%
e	1031955	8.4%
a	772858	6.3%
o	764579	6.2%
t	704519	5.7%
n	661771	5.4%
r	631880	5.1%
i	537842	4.4%
s	462167	3.7%
d	427352	3.5%
Other values (86)	4040652	32.7%

Value	Count	Frequency (%)
â	447	24.3%
	422	23.0%
	200	10.9%
Â	123	6.7%
¦	93	5.1%
Ã	89	4.8%
	74	4.0%
¢	68	3.7%
	38	2.1%
	37	2.0%
Other values (27)	245	13.3%

Value	Count	Frequency (%)
’	89	52.7%
…	22	13.0%
“	16	9.5%
”	16	9.5%
–	10	5.9%
•	8	4.7%
—	5	3.0%
‘	3	1.8%

Value	Count	Frequency (%)
�	6	100.0%

purpose
Categorical

Distinct	14
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.9 MiB

debt_consolidation	19724
credit_card	5469
other	4365
home_improvement	3189
major_purchase	2298
Other values (9)	7305

Length

Max length	18
Median length	16
Mean length	13.70229044
Min length	3

Characters and Unicode

Total characters	580292
Distinct characters	22
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	credit_card
2nd row	car
3rd row	small_business
4th row	other
5th row	other

Value	Count	Frequency (%)
debt_consolidation	19724	46.6%
credit_card	5469	12.9%
other	4365	10.3%
home_improvement	3189	7.5%
major_purchase	2298	5.4%
small_business	1980	4.7%
car	1611	3.8%
wedding	997	2.4%
medical	751	1.8%
moving	625	1.5%
Other values (4)	1341	3.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
debt_consolidation	19724	46.6%
credit_card	5469	12.9%
other	4365	10.3%
home_improvement	3189	7.5%
major_purchase	2298	5.4%
small_business	1980	4.7%
car	1611	3.8%
wedding	997	2.4%
medical	751	1.8%
moving	625	1.5%
Other values (4)	1341	3.2%

Most occurring characters

Value	Count	Frequency (%)
o	74074	12.8%
d	53545	9.2%
t	53284	9.2%
i	53272	9.2%
n	47262	8.1%
e	46513	8.0%
c	36135	6.2%
a	35862	6.2%
_	32765	5.6%
s	30365	5.2%
Other values (12)	117215	20.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	547527	94.4%
Connector Punctuation	32765	5.6%

Most frequent character per category

Value	Count	Frequency (%)
o	74074	13.5%
d	53545	9.8%
t	53284	9.7%
i	53272	9.7%
n	47262	8.6%
e	46513	8.5%
c	36135	6.6%
a	35862	6.5%
s	30365	5.5%
l	24954	4.6%
Other values (11)	92261	16.9%

Value	Count	Frequency (%)
_	32765	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	547527	94.4%
Common	32765	5.6%

Most frequent character per script

Value	Count	Frequency (%)
o	74074	13.5%
d	53545	9.8%
t	53284	9.7%
i	53272	9.7%
n	47262	8.6%
e	46513	8.5%
c	36135	6.6%
a	35862	6.5%
s	30365	5.5%
l	24954	4.6%
Other values (11)	92261	16.9%

Value	Count	Frequency (%)
_	32765	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	580292	100.0%

Most frequent character per block

Value	Count	Frequency (%)
o	74074	12.8%
d	53545	9.2%
t	53284	9.2%
i	53272	9.2%
n	47262	8.1%
e	46513	8.0%
c	36135	6.2%
a	35862	6.2%
_	32765	5.6%
s	30365	5.2%
Other values (12)	117215	20.2%

title
Categorical

HIGH CARDINALITY

Distinct	21173
Distinct (%)	50.0%
Missing	0
Missing (%)	0.0%
Memory size	3.0 MiB

Debt Consolidation	2255
Debt Consolidation Loan	1755
Personal Loan	706
Consolidation	545
debt consolidation	532
Other values (21168)	36557

Length

Max length	80
Median length	16
Mean length	17.34420307
Min length	2

Characters and Unicode

Total characters	734527
Distinct characters	108
Distinct categories	15 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	19031 ?
Unique (%)	44.9%

Sample

1st row	Computer
2nd row	bike
3rd row	real estate business
4th row	personel
5th row	Personal

Value	Count	Frequency (%)
Debt Consolidation	2255	5.3%
Debt Consolidation Loan	1755	4.1%
Personal Loan	706	1.7%
Consolidation	545	1.3%
debt consolidation	532	1.3%
Home Improvement	372	0.9%
Credit Card Consolidation	370	0.9%
Debt consolidation	346	0.8%
Small Business Loan	332	0.8%
Personal	330	0.8%
Other values (21163)	34807	82.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
loan	11460	10.2%
debt	9705	8.6%
consolidation	8976	8.0%
credit	4945	4.4%
card	3552	3.2%
personal	2210	2.0%
home	2017	1.8%
pay	1468	1.3%
off	1376	1.2%
to	1275	1.1%
Other values (9359)	65766	58.3%

Most occurring characters

Value	Count	Frequency (%)
	71669	9.8%
o	69979	9.5%
n	59526	8.1%
e	59102	8.0%
a	53721	7.3%
i	47064	6.4%
t	45804	6.2%
d	32909	4.5%
r	31649	4.3%
s	30868	4.2%
Other values (98)	232236	31.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	561157	76.4%
Uppercase Letter	88905	12.1%
Space Separator	71669	9.8%
Decimal Number	6385	0.9%
Other Punctuation	4894	0.7%
Dash Punctuation	867	0.1%
Connector Punctuation	220	< 0.1%
Close Punctuation	111	< 0.1%
Currency Symbol	104	< 0.1%
Math Symbol	103	< 0.1%
Other values (5)	112	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
C	19602	22.0%
L	10859	12.2%
D	9679	10.9%
P	6046	6.8%
R	4034	4.5%
S	3513	4.0%
M	3484	3.9%
B	3325	3.7%
H	3173	3.6%
E	3130	3.5%
Other values (18)	22060	24.8%

Value	Count	Frequency (%)
o	69979	12.5%
n	59526	10.6%
e	59102	10.5%
a	53721	9.6%
i	47064	8.4%
t	45804	8.2%
d	32909	5.9%
r	31649	5.6%
s	30868	5.5%
l	28219	5.0%
Other values (18)	102316	18.2%

Value	Count	Frequency (%)
!	1249	25.5%
'	1066	21.8%
.	810	16.6%
/	587	12.0%
,	480	9.8%
&	352	7.2%
%	105	2.1%
:	65	1.3%
"	61	1.2%
?	27	0.6%
Other values (5)	92	1.9%

Value	Count	Frequency (%)
0	1819	28.5%
1	1756	27.5%
2	1186	18.6%
3	315	4.9%
5	275	4.3%
9	263	4.1%
4	230	3.6%
6	195	3.1%
8	175	2.7%
7	171	2.7%

Value	Count	Frequency (%)
	4	21.1%
	4	21.1%
	4	21.1%
	2	10.5%
	2	10.5%
	1	5.3%
	1	5.3%
	1	5.3%

Value	Count	Frequency (%)
+	63	61.2%
=	19	18.4%
<	9	8.7%
>	8	7.8%
~	3	2.9%
\|	1	1.0%

Value	Count	Frequency (%)
^	1	33.3%
´	1	33.3%
`	1	33.3%

Value	Count	Frequency (%)
(	84	96.6%
[	3	3.4%

Value	Count	Frequency (%)
)	107	96.4%
]	4	3.6%

Value	Count	Frequency (%)
	71669	100.0%

Value	Count	Frequency (%)
-	867	100.0%

Value	Count	Frequency (%)
_	220	100.0%

Value	Count	Frequency (%)
$	104	100.0%

Value	Count	Frequency (%)
³	1	100.0%

Value	Count	Frequency (%)
¦	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	650062	88.5%
Common	84465	11.5%

Most frequent character per script

Value	Count	Frequency (%)
o	69979	10.8%
n	59526	9.2%
e	59102	9.1%
a	53721	8.3%
i	47064	7.2%
t	45804	7.0%
d	32909	5.1%
r	31649	4.9%
s	30868	4.7%
l	28219	4.3%
Other values (46)	191221	29.4%

Value	Count	Frequency (%)
	71669	84.9%
0	1819	2.2%
1	1756	2.1%
!	1249	1.5%
2	1186	1.4%
'	1066	1.3%
-	867	1.0%
.	810	1.0%
/	587	0.7%
,	480	0.6%
Other values (42)	2976	3.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	734495	> 99.9%
None	32	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
	71669	9.8%
o	69979	9.5%
n	59526	8.1%
e	59102	8.0%
a	53721	7.3%
i	47064	6.4%
t	45804	6.2%
d	32909	4.5%
r	31649	4.3%
s	30868	4.2%
Other values (84)	232204	31.6%

Value	Count	Frequency (%)
â	4	12.5%
	4	12.5%
î	4	12.5%
	4	12.5%
	4	12.5%
Ã	2	6.2%
	2	6.2%
¦	2	6.2%
	1	3.1%
	1	3.1%
Other values (4)	4	12.5%

zip_code
Categorical

HIGH CARDINALITY

Distinct	836
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Memory size	2.5 MiB

100xx	639
945xx	558
606xx	546
112xx	536
070xx	499
Other values (831)	39572

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	211750
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	53 ?
Unique (%)	0.1%

Sample

1st row	860xx
2nd row	309xx
3rd row	606xx
4th row	917xx
5th row	972xx

Value	Count	Frequency (%)
100xx	639	1.5%
945xx	558	1.3%
606xx	546	1.3%
112xx	536	1.3%
070xx	499	1.2%
900xx	474	1.1%
300xx	436	1.0%
021xx	414	1.0%
750xx	391	0.9%
926xx	385	0.9%
Other values (826)	37472	88.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
100xx	639	1.5%
945xx	558	1.3%
606xx	546	1.3%
112xx	536	1.3%
070xx	499	1.2%
900xx	474	1.1%
300xx	436	1.0%
021xx	414	1.0%
750xx	391	0.9%
926xx	385	0.9%
Other values (826)	37472	88.5%

Most occurring characters

Value	Count	Frequency (%)
x	84700	40.0%
0	21162	10.0%
1	16600	7.8%
2	14373	6.8%
9	13366	6.3%
3	13295	6.3%
7	10928	5.2%
4	9754	4.6%
5	9617	4.5%
8	9274	4.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	127050	60.0%
Lowercase Letter	84700	40.0%

Most frequent character per category

Value	Count	Frequency (%)
0	21162	16.7%
1	16600	13.1%
2	14373	11.3%
9	13366	10.5%
3	13295	10.5%
7	10928	8.6%
4	9754	7.7%
5	9617	7.6%
8	9274	7.3%
6	8681	6.8%

Value	Count	Frequency (%)
x	84700	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	127050	60.0%
Latin	84700	40.0%

Most frequent character per script

Value	Count	Frequency (%)
0	21162	16.7%
1	16600	13.1%
2	14373	11.3%
9	13366	10.5%
3	13295	10.5%
7	10928	8.6%
4	9754	7.7%
5	9617	7.6%
8	9274	7.3%
6	8681	6.8%

Value	Count	Frequency (%)
x	84700	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	211750	100.0%

Most frequent character per block

Value	Count	Frequency (%)
x	84700	40.0%
0	21162	10.0%
1	16600	7.8%
2	14373	6.8%
9	13366	6.3%
3	13295	6.3%
7	10928	5.2%
4	9754	4.6%
5	9617	4.5%
8	9274	4.4%

addr_state
Categorical

Distinct	50
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.4 MiB

CA	7398
NY	4045
FL	3093
TX	2896
NJ	1976
Other values (45)	22942

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	84700
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	AZ
2nd row	GA
3rd row	IL
4th row	CA
5th row	OR

Value	Count	Frequency (%)
CA	7398	17.5%
NY	4045	9.6%
FL	3093	7.3%
TX	2896	6.8%
NJ	1976	4.7%
IL	1667	3.9%
PA	1643	3.9%
GA	1500	3.5%
VA	1481	3.5%
MA	1432	3.4%
Other values (40)	15219	35.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
ca	7398	17.5%
ny	4045	9.6%
fl	3093	7.3%
tx	2896	6.8%
nj	1976	4.7%
il	1667	3.9%
pa	1643	3.9%
ga	1500	3.5%
va	1481	3.5%
ma	1432	3.4%
Other values (40)	15219	35.9%

Most occurring characters

Value	Count	Frequency (%)
A	16568	19.6%
C	10602	12.5%
N	8477	10.0%
L	5702	6.7%
M	5081	6.0%
Y	4488	5.3%
T	4171	4.9%
O	3717	4.4%
I	3403	4.0%
F	3093	3.7%
Other values (14)	19398	22.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	84700	100.0%

Most frequent character per category

Value	Count	Frequency (%)
A	16568	19.6%
C	10602	12.5%
N	8477	10.0%
L	5702	6.7%
M	5081	6.0%
Y	4488	5.3%
T	4171	4.9%
O	3717	4.4%
I	3403	4.0%
F	3093	3.7%
Other values (14)	19398	22.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	84700	100.0%

Most frequent character per script

Value	Count	Frequency (%)
A	16568	19.6%
C	10602	12.5%
N	8477	10.0%
L	5702	6.7%
M	5081	6.0%
Y	4488	5.3%
T	4171	4.9%
O	3717	4.4%
I	3403	4.0%
F	3093	3.7%
Other values (14)	19398	22.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	84700	100.0%

Most frequent character per block

Value	Count	Frequency (%)
A	16568	19.6%
C	10602	12.5%
N	8477	10.0%
L	5702	6.7%
M	5081	6.0%
Y	4488	5.3%
T	4171	4.9%
O	3717	4.4%
I	3403	4.0%
F	3093	3.7%
Other values (14)	19398	22.9%

dti
Real number (ℝ_≥0)

Distinct	2894
Distinct (%)	6.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	13.38360496
Minimum	0
Maximum	29.99
Zeros	199
Zeros (%)	0.5%
Memory size	331.0 KiB

Quantile statistics

Minimum	0
5-th percentile	2.11
Q1	8.21
median	13.48
Q3	18.69
95-th percentile	23.92
Maximum	29.99
Range	29.99
Interquartile range (IQR)	10.48

Descriptive statistics

Standard deviation	6.72334128
Coefficient of variation (CV)	0.5023565251
Kurtosis	-0.8509484411
Mean	13.38360496
Median Absolute Deviation (MAD)	5.24
Skewness	-0.03053296036
Sum	566795.67
Variance	45.20331797
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	199	0.5%
12	54	0.1%
18	46	0.1%
19.2	45	0.1%
13.2	43	0.1%
13.5	41	0.1%
16.8	41	0.1%
12.48	40	0.1%
14.29	38	0.1%
4.8	37	0.1%
Other values (2884)	41766	98.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	199	0.5%
0.01	3	< 0.1%
0.02	5	< 0.1%
0.03	2	< 0.1%
0.04	3	< 0.1%
0.05	2	< 0.1%
0.06	1	< 0.1%
0.07	5	< 0.1%
0.08	5	< 0.1%
0.09	4	< 0.1%

Value	Count	Frequency (%)
29.99	1	< 0.1%
29.96	1	< 0.1%
29.95	2	< 0.1%
29.93	3	< 0.1%
29.92	2	< 0.1%
29.9	1	< 0.1%
29.89	1	< 0.1%
29.88	1	< 0.1%
29.86	2	< 0.1%
29.85	1	< 0.1%

delinq_2yrs
Real number (ℝ_≥0)

ZEROS

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.152325856
Minimum	0
Maximum	13
Zeros	37632
Zeros (%)	88.9%
Memory size	331.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	13
Range	13
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.5118802971
Coefficient of variation (CV)	3.360429481
Kurtosis	51.29476705
Mean	0.152325856
Median Absolute Deviation (MAD)	0
Skewness	5.439434812
Sum	6451
Variance	0.2620214386
Monotocity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
0	37632	88.9%
1	3584	8.5%
2	769	1.8%
3	242	0.6%
4	70	0.2%
5	27	0.1%
6	13	< 0.1%
7	6	< 0.1%
8	3	< 0.1%
11	2	< 0.1%
Other values (2)	2	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	37632	88.9%
1	3584	8.5%
2	769	1.8%
3	242	0.6%
4	70	0.2%
5	27	0.1%
6	13	< 0.1%
7	6	< 0.1%
8	3	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
13	1	< 0.1%
11	2	< 0.1%
9	1	< 0.1%
8	3	< 0.1%
7	6	< 0.1%
6	13	< 0.1%
5	27	0.1%
4	70	0.2%
3	242	0.6%
2	769	1.8%

earliest_cr_line
Categorical

HIGH CARDINALITY

Distinct	530
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

Oct-1999	393
Nov-1998	390
Oct-2000	368
Dec-1998	366
Dec-1997	347
Other values (525)	40486

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	338800
Distinct characters	33
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	35 ?
Unique (%)	0.1%

Sample

1st row	Jan-1985
2nd row	Apr-1999
3rd row	Nov-2001
4th row	Feb-1996
5th row	Jan-1996

Value	Count	Frequency (%)
Oct-1999	393	0.9%
Nov-1998	390	0.9%
Oct-2000	368	0.9%
Dec-1998	366	0.9%
Dec-1997	347	0.8%
Nov-2000	339	0.8%
Nov-1999	335	0.8%
Oct-1998	332	0.8%
Sep-2000	325	0.8%
Nov-1997	318	0.8%
Other values (520)	38837	91.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
oct-1999	393	0.9%
nov-1998	390	0.9%
oct-2000	368	0.9%
dec-1998	366	0.9%
dec-1997	347	0.8%
nov-2000	339	0.8%
nov-1999	335	0.8%
oct-1998	332	0.8%
sep-2000	325	0.8%
nov-1997	318	0.8%
Other values (520)	38837	91.7%

Most occurring characters

Value	Count	Frequency (%)
9	51392	15.2%
-	42350	12.5%
0	36460	10.8%
1	30461	9.0%
2	19346	5.7%
e	11188	3.3%
J	10067	3.0%
u	9917	2.9%
a	9738	2.9%
8	9006	2.7%
Other values (23)	108875	32.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	169400	50.0%
Lowercase Letter	84700	25.0%
Uppercase Letter	42350	12.5%
Dash Punctuation	42350	12.5%

Most frequent character per category

Value	Count	Frequency (%)
e	11188	13.2%
u	9917	11.7%
a	9738	11.5%
c	8674	10.2%
n	6802	8.0%
p	6770	8.0%
r	5933	7.0%
t	4371	5.2%
o	4182	4.9%
v	4182	4.9%
Other values (4)	12943	15.3%

Value	Count	Frequency (%)
9	51392	30.3%
0	36460	21.5%
1	30461	18.0%
2	19346	11.4%
8	9006	5.3%
7	5146	3.0%
4	4549	2.7%
6	4532	2.7%
5	4495	2.7%
3	4013	2.4%

Value	Count	Frequency (%)
J	10067	23.8%
A	6467	15.3%
M	6075	14.3%
O	4371	10.3%
D	4303	10.2%
N	4182	9.9%
S	3816	9.0%
F	3069	7.2%

Value	Count	Frequency (%)
-	42350	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	211750	62.5%
Latin	127050	37.5%

Most frequent character per script

Value	Count	Frequency (%)
e	11188	8.8%
J	10067	7.9%
u	9917	7.8%
a	9738	7.7%
c	8674	6.8%
n	6802	5.4%
p	6770	5.3%
A	6467	5.1%
M	6075	4.8%
r	5933	4.7%
Other values (12)	45419	35.7%

Value	Count	Frequency (%)
9	51392	24.3%
-	42350	20.0%
0	36460	17.2%
1	30461	14.4%
2	19346	9.1%
8	9006	4.3%
7	5146	2.4%
4	4549	2.1%
6	4532	2.1%
5	4495	2.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	338800	100.0%

Most frequent character per block

Value	Count	Frequency (%)
9	51392	15.2%
-	42350	12.5%
0	36460	10.8%
1	30461	9.0%
2	19346	5.7%
e	11188	3.3%
J	10067	3.0%
u	9917	2.9%
a	9738	2.9%
8	9006	2.7%
Other values (23)	108875	32.1%

fico_range_low
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	44
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	713.0929162
Minimum	610
Maximum	825
Zeros	0
Zeros (%)	0.0%
Memory size	331.0 KiB

Quantile statistics

Minimum	610
5-th percentile	665
Q1	685
median	710
Q3	740
95-th percentile	780
Maximum	825
Range	215
Interquartile range (IQR)	55

Descriptive statistics

Standard deviation	36.18989634
Coefficient of variation (CV)	0.05075060419
Kurtosis	-0.4980942286
Mean	713.0929162
Median Absolute Deviation (MAD)	25
Skewness	0.4634056282
Sum	30199485
Variance	1309.708597
Monotocity	Not monotonic

Histogram with fixed size bins (bins=44)

Value	Count	Frequency (%)
685	2301	5.4%
700	2258	5.3%
680	2213	5.2%
695	2187	5.2%
690	2182	5.2%
675	1985	4.7%
705	1964	4.6%
720	1939	4.6%
725	1889	4.5%
715	1882	4.4%
Other values (34)	21550	50.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
610	2	< 0.1%
615	1	< 0.1%
620	1	< 0.1%
625	2	< 0.1%
630	6	< 0.1%
635	5	< 0.1%
640	100	0.2%
645	112	0.3%
650	131	0.3%
655	127	0.3%

Value	Count	Frequency (%)
825	3	< 0.1%
820	19	< 0.1%
815	28	0.1%
810	125	0.3%
805	193	0.5%
800	253	0.6%
795	336	0.8%
790	421	1.0%
785	405	1.0%
780	572	1.4%

fico_range_high
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	44
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	717.0929162
Minimum	614
Maximum	829
Zeros	0
Zeros (%)	0.0%
Memory size	331.0 KiB

Quantile statistics

Minimum	614
5-th percentile	669
Q1	689
median	714
Q3	744
95-th percentile	784
Maximum	829
Range	215
Interquartile range (IQR)	55

Descriptive statistics

Standard deviation	36.18989634
Coefficient of variation (CV)	0.05046751338
Kurtosis	-0.4980942286
Mean	717.0929162
Median Absolute Deviation (MAD)	25
Skewness	0.4634056282
Sum	30368885
Variance	1309.708597
Monotocity	Not monotonic

Histogram with fixed size bins (bins=44)

Value	Count	Frequency (%)
689	2301	5.4%
704	2258	5.3%
684	2213	5.2%
699	2187	5.2%
694	2182	5.2%
679	1985	4.7%
709	1964	4.6%
724	1939	4.6%
729	1889	4.5%
719	1882	4.4%
Other values (34)	21550	50.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
614	2	< 0.1%
619	1	< 0.1%
624	1	< 0.1%
629	2	< 0.1%
634	6	< 0.1%
639	5	< 0.1%
644	100	0.2%
649	112	0.3%
654	131	0.3%
659	127	0.3%

Value	Count	Frequency (%)
829	3	< 0.1%
824	19	< 0.1%
819	28	0.1%
814	125	0.3%
809	193	0.5%
804	253	0.6%
799	336	0.8%
794	421	1.0%
789	405	1.0%
784	572	1.4%

inq_last_6mths
Real number (ℝ_≥0)

ZEROS

Distinct	28
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.079645809
Minimum	0
Maximum	33
Zeros	19606
Zeros (%)	46.3%
Memory size	331.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	4
Maximum	33
Range	33
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.526551198
Coefficient of variation (CV)	1.413937039
Kurtosis	31.14815404
Mean	1.079645809
Median Absolute Deviation (MAD)	1
Skewness	3.464906217
Sum	45723
Variance	2.330358561
Monotocity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
0	19606	46.3%
1	11204	26.5%
2	5962	14.1%
3	3164	7.5%
4	1048	2.5%
5	592	1.4%
6	334	0.8%
7	181	0.4%
8	114	0.3%
9	50	0.1%
Other values (18)	95	0.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	19606	46.3%
1	11204	26.5%
2	5962	14.1%
3	3164	7.5%
4	1048	2.5%
5	592	1.4%
6	334	0.8%
7	181	0.4%
8	114	0.3%
9	50	0.1%

Value	Count	Frequency (%)
33	1	< 0.1%
32	1	< 0.1%
31	1	< 0.1%
28	1	< 0.1%
27	1	< 0.1%
25	1	< 0.1%
24	2	< 0.1%
20	1	< 0.1%
19	2	< 0.1%
18	4	< 0.1%

open_acc
Real number (ℝ_≥0)

Distinct	44
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	9.355088548
Minimum	1
Maximum	47
Zeros	0
Zeros (%)	0.0%
Memory size	331.0 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	6
median	9
Q3	12
95-th percentile	18
Maximum	47
Range	46
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	4.493806239
Coefficient of variation (CV)	0.4803595622
Kurtosis	1.941439942
Mean	9.355088548
Median Absolute Deviation (MAD)	3
Skewness	1.044050346
Sum	396188
Variance	20.19429452
Monotocity	Not monotonic

Histogram with fixed size bins (bins=44)

Value	Count	Frequency (%)
7	4237	10.0%
8	4163	9.8%
6	4156	9.8%
9	3911	9.2%
10	3383	8.0%
5	3358	7.9%
11	2939	6.9%
4	2489	5.9%
12	2395	5.7%
13	2054	4.9%
Other values (34)	9265	21.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	34	0.1%
2	667	1.6%
3	1592	3.8%
4	2489	5.9%
5	3358	7.9%
6	4156	9.8%
7	4237	10.0%
8	4163	9.8%
9	3911	9.2%
10	3383	8.0%

Value	Count	Frequency (%)
47	1	< 0.1%
46	1	< 0.1%
44	1	< 0.1%
42	1	< 0.1%
41	1	< 0.1%
39	1	< 0.1%
38	2	< 0.1%
37	1	< 0.1%
36	2	< 0.1%
35	4	< 0.1%

pub_rec
Real number (ℝ_≥0)

ZEROS

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.05813459268
Minimum	0
Maximum	5
Zeros	39984
Zeros (%)	94.4%
Memory size	331.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	5
Range	5
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.2457157345
Coefficient of variation (CV)	4.226669925
Kurtosis	26.89432834
Mean	0.05813459268
Median Absolute Deviation (MAD)	0
Skewness	4.609349912
Sum	2462
Variance	0.06037622217
Monotocity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	39984	94.4%
1	2288	5.4%
2	64	0.2%
3	11	< 0.1%
4	2	< 0.1%
5	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	39984	94.4%
1	2288	5.4%
2	64	0.2%
3	11	< 0.1%
4	2	< 0.1%
5	1	< 0.1%

Value	Count	Frequency (%)
5	1	< 0.1%
4	2	< 0.1%
3	11	< 0.1%
2	64	0.2%
1	2288	5.4%
0	39984	94.4%

revol_bal
Real number (ℝ_≥0)

ZEROS

Distinct	22691
Distinct (%)	53.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	14330.05962
Minimum	0
Maximum	1207359
Zeros	1028
Zeros (%)	2.4%
Memory size	331.0 KiB

Quantile statistics

Minimum	0
5-th percentile	319
Q1	3670
median	8858
Q3	17283.75
95-th percentile	44587.1
Maximum	1207359
Range	1207359
Interquartile range (IQR)	13613.75

Descriptive statistics

Standard deviation	21986.93728
Coefficient of variation (CV)	1.534322805
Kurtosis	349.0122448
Mean	14330.05962
Median Absolute Deviation (MAD)	6097
Skewness	11.03939013
Sum	606878025
Variance	483425411.1
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1028	2.4%
255	14	< 0.1%
298	14	< 0.1%
1	13	< 0.1%
682	12	< 0.1%
6	10	< 0.1%
400	10	< 0.1%
52	10	< 0.1%
39	10	< 0.1%
5272	9	< 0.1%
Other values (22681)	41220	97.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1028	2.4%
1	13	< 0.1%
2	6	< 0.1%
3	7	< 0.1%
4	3	< 0.1%
5	8	< 0.1%
6	10	< 0.1%
7	6	< 0.1%
8	5	< 0.1%
9	8	< 0.1%

Value	Count	Frequency (%)
1207359	1	< 0.1%
952013	1	< 0.1%
602519	1	< 0.1%
508961	1	< 0.1%
487589	1	< 0.1%
465731	1	< 0.1%
423189	1	< 0.1%
407794	1	< 0.1%
401941	1	< 0.1%
394107	1	< 0.1%

revol_util
Categorical

HIGH CARDINALITY

Distinct	1119
Distinct (%)	2.6%
Missing	0
Missing (%)	0.0%
Memory size	2.5 MiB

0%	1068
40.7%	65
0.2%	63
63%	63
66.6%	62
Other values (1114)	41029

Length

Max length	6
Median length	5
Mean length	4.646328217
Min length	2

Characters and Unicode

Total characters	196772
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	115 ?
Unique (%)	0.3%

Sample

1st row	83.7%
2nd row	9.4%
3rd row	98.5%
4th row	21%
5th row	53.9%

Value	Count	Frequency (%)
0%	1068	2.5%
40.7%	65	0.2%
0.2%	63	0.1%
63%	63	0.1%
66.6%	62	0.1%
0.1%	61	0.1%
70.4%	61	0.1%
64.6%	60	0.1%
37.6%	60	0.1%
46.4%	59	0.1%
Other values (1109)	40728	96.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	1068	2.5%
40.7	65	0.2%
63	63	0.1%
0.2	63	0.1%
66.6	62	0.1%
70.4	61	0.1%
0.1	61	0.1%
37.6	60	0.1%
64.6	60	0.1%
66.7	59	0.1%
Other values (1109)	40728	96.2%

Most occurring characters

Value	Count	Frequency (%)
%	42350	21.5%
.	37165	18.9%
4	12893	6.6%
5	12878	6.5%
6	12815	6.5%
7	12812	6.5%
3	12631	6.4%
2	12303	6.3%
8	12234	6.2%
1	11797	6.0%
Other values (2)	16894	8.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	117257	59.6%
Other Punctuation	79515	40.4%

Most frequent character per category

Value	Count	Frequency (%)
4	12893	11.0%
5	12878	11.0%
6	12815	10.9%
7	12812	10.9%
3	12631	10.8%
2	12303	10.5%
8	12234	10.4%
1	11797	10.1%
9	11580	9.9%
0	5314	4.5%

Value	Count	Frequency (%)
%	42350	53.3%
.	37165	46.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	196772	100.0%

Most frequent character per script

Value	Count	Frequency (%)
%	42350	21.5%
.	37165	18.9%
4	12893	6.6%
5	12878	6.5%
6	12815	6.5%
7	12812	6.5%
3	12631	6.4%
2	12303	6.3%
8	12234	6.2%
1	11797	6.0%
Other values (2)	16894	8.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	196772	100.0%

Most frequent character per block

Value	Count	Frequency (%)
%	42350	21.5%
.	37165	18.9%
4	12893	6.6%
5	12878	6.5%
6	12815	6.5%
7	12812	6.5%
3	12631	6.4%
2	12303	6.3%
8	12234	6.2%
1	11797	6.0%
Other values (2)	16894	8.6%

total_acc
Real number (ℝ_≥0)

Distinct	83
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	22.15279811
Minimum	1
Maximum	90
Zeros	0
Zeros (%)	0.0%
Memory size	331.0 KiB

Quantile statistics

Minimum	1
5-th percentile	6
Q1	13
median	20
Q3	29
95-th percentile	44
Maximum	90
Range	89
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	11.585441
Coefficient of variation (CV)	0.5229786747
Kurtosis	0.6627622935
Mean	22.15279811
Median Absolute Deviation (MAD)	8
Skewness	0.8230335865
Sum	938171
Variance	134.2224431
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
15	1548	3.7%
16	1545	3.6%
17	1539	3.6%
14	1525	3.6%
20	1503	3.5%
18	1490	3.5%
21	1481	3.5%
13	1478	3.5%
12	1409	3.3%
19	1400	3.3%
Other values (73)	27432	64.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	20	< 0.1%
2	39	0.1%
3	232	0.5%
4	476	1.1%
5	610	1.4%
6	750	1.8%
7	888	2.1%
8	1063	2.5%
9	1141	2.7%
10	1255	3.0%

Value	Count	Frequency (%)
90	1	< 0.1%
87	1	< 0.1%
81	1	< 0.1%
80	1	< 0.1%
79	2	< 0.1%
78	1	< 0.1%
77	1	< 0.1%
76	2	< 0.1%
75	2	< 0.1%
74	1	< 0.1%

total_pymnt
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	42213
Distinct (%)	99.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	12058.63076
Minimum	33.97
Maximum	58886.47343
Zeros	0
Zeros (%)	0.0%
Memory size	331.0 KiB

Quantile statistics

Minimum	33.97
5-th percentile	1850.57112
Q1	5491.729912
median	9725.69238
Q3	16448.98543
95-th percentile	30242.12214
Maximum	58886.47343
Range	58852.50343
Interquartile range (IQR)	10957.25551

Descriptive statistics

Standard deviation	9091.066015
Coefficient of variation (CV)	0.7539053314
Kurtosis	2.175082401
Mean	12058.63076
Median Absolute Deviation (MAD)	5004.577438
Skewness	1.379720177
Sum	510683012.5
Variance	82647481.3
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
12029.45	6	< 0.1%
5614.27944	3	< 0.1%
11784.23223	3	< 0.1%
26687.23	3	< 0.1%
11955.39921	3	< 0.1%
10956.77596	3	< 0.1%
5981.389324	3	< 0.1%
11553.89594	3	< 0.1%
11804.68932	3	< 0.1%
11437.69145	3	< 0.1%
Other values (42203)	42317	99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
33.97	1	< 0.1%
35.9	1	< 0.1%
58.03	1	< 0.1%
66.94	1	< 0.1%
69.78	1	< 0.1%
70.07	1	< 0.1%
76.64	1	< 0.1%
76.71	1	< 0.1%
78.97	1	< 0.1%
83.89	1	< 0.1%

Value	Count	Frequency (%)
58886.47343	1	< 0.1%
58563.67993	1	< 0.1%
58480.13992	1	< 0.1%
58133.3199	1	< 0.1%
58090.95207	1	< 0.1%
58071.19982	1	< 0.1%
58071.19977	1	< 0.1%
57997.27995	1	< 0.1%
57835.27991	1	< 0.1%
57143.25996	1	< 0.1%

total_pymnt_inv
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	39959
Distinct (%)	94.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	11352.63352
Minimum	0
Maximum	58563.68
Zeros	267
Zeros (%)	0.6%
Memory size	331.0 KiB

Quantile statistics

Minimum	0
5-th percentile	1194.472
Q1	4845.9675
median	8997.825
Q3	15578.5025
95-th percentile	29671.135
Maximum	58563.68
Range	58563.68
Interquartile range (IQR)	10732.535

Descriptive statistics

Standard deviation	9034.480426
Coefficient of variation (CV)	0.7958048158
Kurtosis	2.220739567
Mean	11352.63352
Median Absolute Deviation (MAD)	4967.84
Skewness	1.393465304
Sum	480784029.5
Variance	81621836.57
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	267	0.6%
6514.52	16	< 0.1%
5478.39	14	< 0.1%
13148.14	14	< 0.1%
6717.95	12	< 0.1%
11196.57	12	< 0.1%
10956.78	12	< 0.1%
13517.36	11	< 0.1%
7328.92	11	< 0.1%
5557.03	11	< 0.1%
Other values (39949)	41970	99.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	267	0.6%
0.54	1	< 0.1%
0.92	1	< 0.1%
11.22	1	< 0.1%
12.65	1	< 0.1%
16.82	1	< 0.1%
18.97	1	< 0.1%
20.98	1	< 0.1%
21.6	1	< 0.1%
24.1	1	< 0.1%

Value	Count	Frequency (%)
58563.68	1	< 0.1%
58514.93	1	< 0.1%
58438.37	1	< 0.1%
58056.4	1	< 0.1%
57967.53	1	< 0.1%
57953.69	1	< 0.1%
57863.51	1	< 0.1%
57672.74	1	< 0.1%
57628.73	1	< 0.1%
57143.26	1	< 0.1%

total_rec_prncp
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	7669
Distinct (%)	18.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	9707.626804
Minimum	0
Maximum	35000.02
Zeros	3
Zeros (%)	< 0.1%
Memory size	331.0 KiB

Quantile statistics

Minimum	0
5-th percentile	1267.178
Q1	4499.9925
median	8000
Q3	13500
95-th percentile	24999.99
Maximum	35000.02
Range	35000.02
Interquartile range (IQR)	9000.0075

Descriptive statistics

Standard deviation	7100.759155
Coefficient of variation (CV)	0.7314619008
Kurtosis	1.143551258
Mean	9707.626804
Median Absolute Deviation (MAD)	4000
Skewness	1.137232723
Sum	411117995.1
Variance	50420780.57
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	2431	5.7%
12000	1956	4.6%
5000	1853	4.4%
6000	1751	4.1%
15000	1528	3.6%
8000	1411	3.3%
20000	1199	2.8%
4000	1045	2.5%
3000	969	2.3%
7000	900	2.1%
Other values (7659)	27307	64.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	3	< 0.1%
21.21	1	< 0.1%
21.93	1	< 0.1%
22.24	1	< 0.1%
22.5	1	< 0.1%
23.68	1	< 0.1%
24.87	1	< 0.1%
30.32	1	< 0.1%
32.51	1	< 0.1%
34.5	1	< 0.1%

Value	Count	Frequency (%)
35000.02	2	< 0.1%
35000.01	1	< 0.1%
35000	418	1.0%
34999.99	7	< 0.1%
34999.98	1	< 0.1%
34999.97	1	< 0.1%
34800	1	< 0.1%
34675	1	< 0.1%
34525	1	< 0.1%
34475.01	1	< 0.1%

total_rec_int
Real number (ℝ_≥0)

Distinct	37374
Distinct (%)	88.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2247.371068
Minimum	3.54
Maximum	23886.47
Zeros	0
Zeros (%)	0.0%
Memory size	331.0 KiB

Quantile statistics

Minimum	3.54
5-th percentile	190.31
Q1	662.68
median	1344.735
Q3	2811.5325
95-th percentile	7474.0995
Maximum	23886.47
Range	23882.93
Interquartile range (IQR)	2148.8525

Descriptive statistics

Standard deviation	2587.336124
Coefficient of variation (CV)	1.151272329
Kurtosis	10.0474353
Mean	2247.371068
Median Absolute Deviation (MAD)	860.025
Skewness	2.706185526
Sum	95176164.74
Variance	6694308.218
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1196.57	26	0.1%
514.52	19	< 0.1%
1148.14	17	< 0.1%
1784.23	17	< 0.1%
956.78	17	< 0.1%
717.95	17	< 0.1%
478.39	16	< 0.1%
1907.35	14	< 0.1%
557.03	13	< 0.1%
1435.9	13	< 0.1%
Other values (37364)	42181	99.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3.54	1	< 0.1%
6.22	1	< 0.1%
6.27	1	< 0.1%
7.19	1	< 0.1%
7.2	2	< 0.1%
8.06	1	< 0.1%
8.23	1	< 0.1%
8.92	1	< 0.1%
9.34	1	< 0.1%
9.49	1	< 0.1%

Value	Count	Frequency (%)
23886.47	1	< 0.1%
23563.68	1	< 0.1%
23480.14	1	< 0.1%
23090.95	1	< 0.1%
23084.93	1	< 0.1%
23071.2	2	< 0.1%
22997.28	1	< 0.1%
22835.28	1	< 0.1%
22700.39	1	< 0.1%
22143.26	1	< 0.1%

total_rec_late_fee
Real number (ℝ_≥0)

ZEROS

Distinct	2287
Distinct (%)	5.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.516277014
Minimum	0
Maximum	209
Zeros	39972
Zeros (%)	94.4%
Memory size	331.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	14.97971029
Maximum	209
Range	209
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	7.821095463
Coefficient of variation (CV)	5.158091424
Kurtosis	100.8469328
Mean	1.516277014
Median Absolute Deviation (MAD)	0
Skewness	8.318175938
Sum	64214.33155
Variance	61.16953425
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	39972	94.4%
15	69	0.2%
30	8	< 0.1%
45	3	< 0.1%
15	2	< 0.1%
15	2	< 0.1%
15	2	< 0.1%
15.00000001	2	< 0.1%
15.00000001	2	< 0.1%
15.79	2	< 0.1%
Other values (2277)	2286	5.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	39972	94.4%
0.01	1	< 0.1%
0.0607997508	1	< 0.1%
0.0737871041	1	< 0.1%
0.1017045619	1	< 0.1%
0.1399999991	1	< 0.1%
0.1800829035	1	< 0.1%
0.1847736202	1	< 0.1%
0.27	1	< 0.1%
0.3020365533	1	< 0.1%

Value	Count	Frequency (%)
209	1	< 0.1%
180.2	1	< 0.1%
170.7600004	1	< 0.1%
166.4297107	1	< 0.1%
165.69	1	< 0.1%
146.6000003	1	< 0.1%
146.04	1	< 0.1%
143.0930454	1	< 0.1%
134.0700007	1	< 0.1%
130.5970372	1	< 0.1%

recoveries
Real number (ℝ_≥0)

ZEROS

Distinct	4998
Distinct (%)	11.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	102.1166995
Minimum	0
Maximum	29623.35
Zeros	36077
Zeros (%)	85.2%
Memory size	331.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	388.5375
Maximum	29623.35
Range	29623.35
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	733.5818909
Coefficient of variation (CV)	7.183760292
Kurtosis	391.183761
Mean	102.1166995
Median Absolute Deviation (MAD)	0
Skewness	16.67123747
Sum	4324642.223
Variance	538142.3907
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	36077	85.2%
0.3	14	< 0.1%
1.8	11	< 0.1%
0.96	10	< 0.1%
1.2	10	< 0.1%
0.9	9	< 0.1%
1.76	9	< 0.1%
0.26	9	< 0.1%
0.72	9	< 0.1%
6.3	9	< 0.1%
Other values (4988)	6183	14.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	36077	85.2%
0.01	7	< 0.1%
0.02	3	< 0.1%
0.03	4	< 0.1%
0.04	6	< 0.1%
0.05	2	< 0.1%
0.06	8	< 0.1%
0.07	3	< 0.1%
0.08	5	< 0.1%
0.09	5	< 0.1%

Value	Count	Frequency (%)
29623.35	1	< 0.1%
27750	1	< 0.1%
27009.47	1	< 0.1%
22943.37	1	< 0.1%
21811.73	1	< 0.1%
20504.01	1	< 0.1%
20008.4	1	< 0.1%
19916.78	1	< 0.1%
19508.26	1	< 0.1%
18694.79	1	< 0.1%

collection_recovery_fee
Real number (ℝ_≥0)

SKEWED
ZEROS

Distinct	2870
Distinct (%)	6.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	14.2615717
Minimum	0
Maximum	7002.19
Zeros	38100
Zeros (%)	90.0%
Memory size	331.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	5.677839998
Maximum	7002.19
Range	7002.19
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	161.8943878
Coefficient of variation (CV)	11.35179146
Kurtosis	654.6901251
Mean	14.2615717
Median Absolute Deviation (MAD)	0
Skewness	22.55504187
Sum	603977.5614
Variance	26209.79279
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	38100	90.0%
2	14	< 0.1%
1.2	11	< 0.1%
1.6	10	< 0.1%
1.88	9	< 0.1%
2.02	9	< 0.1%
3.23	9	< 0.1%
1.8	9	< 0.1%
1.44	9	< 0.1%
3.71	9	< 0.1%
Other values (2860)	4161	9.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	38100	90.0%
0.0449999999	1	< 0.1%
0.063	1	< 0.1%
0.0745000012	1	< 0.1%
0.1181	1	< 0.1%
0.1347999947	1	< 0.1%
0.1393000004	1	< 0.1%
0.14	1	< 0.1%
0.16	1	< 0.1%
0.18	1	< 0.1%

Value	Count	Frequency (%)
7002.19	1	< 0.1%
6972.59	1	< 0.1%
6543.04	1	< 0.1%
5774.8	1	< 0.1%
5602.72	1	< 0.1%
5569.92	1	< 0.1%
5216.74	1	< 0.1%
5192.99	1	< 0.1%
5036.01	1	< 0.1%
4902.08	1	< 0.1%

last_pymnt_d
Categorical

HIGH CARDINALITY

Distinct	112
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

Mar-2013	1068
Dec-2014	948
May-2013	942
Feb-2013	905
Mar-2012	892
Other values (107)	37595

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	338800
Distinct characters	33
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Jan-2015
2nd row	Apr-2013
3rd row	Jun-2014
4th row	Jan-2015
5th row	Jan-2017

Value	Count	Frequency (%)
Mar-2013	1068	2.5%
Dec-2014	948	2.2%
May-2013	942	2.2%
Feb-2013	905	2.1%
Mar-2012	892	2.1%
Apr-2013	890	2.1%
Aug-2012	866	2.0%
Oct-2012	852	2.0%
Jan-2014	844	2.0%
Aug-2014	835	2.0%
Other values (102)	33308	78.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
mar-2013	1068	2.5%
dec-2014	948	2.2%
may-2013	942	2.2%
feb-2013	905	2.1%
mar-2012	892	2.1%
apr-2013	890	2.1%
aug-2012	866	2.0%
oct-2012	852	2.0%
jan-2014	844	2.0%
aug-2014	835	2.0%
Other values (102)	33308	78.6%

Most occurring characters

Value	Count	Frequency (%)
2	51680	15.3%
1	46924	13.9%
0	45899	13.5%
-	42350	12.5%
e	10766	3.2%
a	10750	3.2%
u	10455	3.1%
J	10142	3.0%
3	9796	2.9%
4	9319	2.8%
Other values (23)	90719	26.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	169400	50.0%
Lowercase Letter	84700	25.0%
Uppercase Letter	42350	12.5%
Dash Punctuation	42350	12.5%

Most frequent character per category

Value	Count	Frequency (%)
e	10766	12.7%
a	10750	12.7%
u	10455	12.3%
c	7558	8.9%
r	7480	8.8%
p	6809	8.0%
n	6545	7.7%
t	3655	4.3%
l	3597	4.2%
g	3579	4.2%
Other values (4)	13506	15.9%

Value	Count	Frequency (%)
2	51680	30.5%
1	46924	27.7%
0	45899	27.1%
3	9796	5.8%
4	9319	5.5%
5	2508	1.5%
6	2083	1.2%
9	831	0.5%
8	327	0.2%
7	33	< 0.1%

Value	Count	Frequency (%)
J	10142	23.9%
M	7484	17.7%
A	7003	16.5%
D	3903	9.2%
O	3655	8.6%
F	3478	8.2%
S	3385	8.0%
N	3300	7.8%

Value	Count	Frequency (%)
-	42350	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	211750	62.5%
Latin	127050	37.5%

Most frequent character per script

Value	Count	Frequency (%)
e	10766	8.5%
a	10750	8.5%
u	10455	8.2%
J	10142	8.0%
c	7558	5.9%
M	7484	5.9%
r	7480	5.9%
A	7003	5.5%
p	6809	5.4%
n	6545	5.2%
Other values (12)	42058	33.1%

Value	Count	Frequency (%)
2	51680	24.4%
1	46924	22.2%
0	45899	21.7%
-	42350	20.0%
3	9796	4.6%
4	9319	4.4%
5	2508	1.2%
6	2083	1.0%
9	831	0.4%
8	327	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	338800	100.0%

Most frequent character per block

Value	Count	Frequency (%)
2	51680	15.3%
1	46924	13.9%
0	45899	13.5%
-	42350	12.5%
e	10766	3.2%
a	10750	3.2%
u	10455	3.1%
J	10142	3.0%
3	9796	2.9%
4	9319	2.8%
Other values (23)	90719	26.8%

last_pymnt_amnt
Real number (ℝ_≥0)

Distinct	37205
Distinct (%)	87.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2623.355599
Minimum	0
Maximum	36115.2
Zeros	8
Zeros (%)	< 0.1%
Memory size	331.0 KiB

Quantile statistics

Minimum	0
5-th percentile	41.049
Q1	213.085
median	532.14
Q3	3190.025
95-th percentile	12051.05
Maximum	36115.2
Range	36115.2
Interquartile range (IQR)	2976.94

Descriptive statistics

Standard deviation	4391.378244
Coefficient of variation (CV)	1.673954628
Kurtosis	9.091750621
Mean	2623.355599
Median Absolute Deviation (MAD)	437.625
Skewness	2.743778387
Sum	111099109.6
Variance	19284202.88
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
200	19	< 0.1%
100	17	< 0.1%
50	17	< 0.1%
150	13	< 0.1%
400	12	< 0.1%
275.74	11	< 0.1%
500	11	< 0.1%
276.06	9	< 0.1%
324.42	8	< 0.1%
0	8	< 0.1%
Other values (37195)	42225	99.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	8	< 0.1%
0.01	1	< 0.1%
0.02	1	< 0.1%
0.03	1	< 0.1%
0.06	1	< 0.1%
0.13	1	< 0.1%
0.16	2	< 0.1%
0.2	1	< 0.1%
0.22	1	< 0.1%
0.24	1	< 0.1%

Value	Count	Frequency (%)
36115.2	1	< 0.1%
35613.68	1	< 0.1%
35596.41	1	< 0.1%
35479.89	1	< 0.1%
35471.86	1	< 0.1%
35395.59	1	< 0.1%
35339.05	1	< 0.1%
35337.09	1	< 0.1%
35322.96	1	< 0.1%
35322.6	1	< 0.1%

last_credit_pull_d
Categorical

HIGH CARDINALITY

Distinct	133
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

Aug-2018	9208
Oct-2016	4016
Jul-2018	1230
May-2018	732
Feb-2017	707
Other values (128)	26457

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	338800
Distinct characters	33
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	< 0.1%

Sample

1st row	Aug-2018
2nd row	Oct-2016
3rd row	Jun-2017
4th row	Apr-2016
5th row	Apr-2018

Value	Count	Frequency (%)
Aug-2018	9208	21.7%
Oct-2016	4016	9.5%
Jul-2018	1230	2.9%
May-2018	732	1.7%
Feb-2017	707	1.7%
Apr-2018	597	1.4%
Mar-2018	593	1.4%
Feb-2013	563	1.3%
Jan-2018	546	1.3%
Jun-2018	531	1.3%
Other values (123)	23627	55.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
aug-2018	9208	21.7%
oct-2016	4016	9.5%
jul-2018	1230	2.9%
may-2018	732	1.7%
feb-2017	707	1.7%
apr-2018	597	1.4%
mar-2018	593	1.4%
feb-2013	563	1.3%
jan-2018	546	1.3%
jun-2018	531	1.3%
Other values (123)	23627	55.8%

Most occurring characters

Value	Count	Frequency (%)
2	45174	13.3%
1	43827	12.9%
0	43464	12.8%
-	42350	12.5%
u	16794	5.0%
8	14015	4.1%
A	13756	4.1%
g	11298	3.3%
c	8149	2.4%
a	7636	2.3%
Other values (23)	92337	27.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	169400	50.0%
Lowercase Letter	84700	25.0%
Uppercase Letter	42350	12.5%
Dash Punctuation	42350	12.5%

Most frequent character per category

Value	Count	Frequency (%)
u	16794	19.8%
g	11298	13.3%
c	8149	9.6%
a	7636	9.0%
e	7420	8.8%
t	5880	6.9%
r	5387	6.4%
p	4456	5.3%
n	4411	5.2%
l	3212	3.8%
Other values (4)	10057	11.9%

Value	Count	Frequency (%)
2	45174	26.7%
1	43827	25.9%
0	43464	25.7%
8	14015	8.3%
6	7344	4.3%
7	5015	3.0%
4	3966	2.3%
3	3506	2.1%
5	2848	1.7%
9	241	0.1%

Value	Count	Frequency (%)
A	13756	32.5%
J	7623	18.0%
O	5880	13.9%
M	5509	13.0%
F	3153	7.4%
D	2269	5.4%
N	2162	5.1%
S	1998	4.7%

Value	Count	Frequency (%)
-	42350	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	211750	62.5%
Latin	127050	37.5%

Most frequent character per script

Value	Count	Frequency (%)
u	16794	13.2%
A	13756	10.8%
g	11298	8.9%
c	8149	6.4%
a	7636	6.0%
J	7623	6.0%
e	7420	5.8%
O	5880	4.6%
t	5880	4.6%
M	5509	4.3%
Other values (12)	37105	29.2%

Value	Count	Frequency (%)
2	45174	21.3%
1	43827	20.7%
0	43464	20.5%
-	42350	20.0%
8	14015	6.6%
6	7344	3.5%
7	5015	2.4%
4	3966	1.9%
3	3506	1.7%
5	2848	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	338800	100.0%

Most frequent character per block

Value	Count	Frequency (%)
2	45174	13.3%
1	43827	12.9%
0	43464	12.8%
-	42350	12.5%
u	16794	5.0%
8	14015	4.1%
A	13756	4.1%
g	11298	3.3%
c	8149	2.4%
a	7636	2.3%
Other values (23)	92337	27.3%

last_fico_range_high
Real number (ℝ_≥0)

Distinct	72
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	690.2846281
Minimum	0
Maximum	850
Zeros	19
Zeros (%)	< 0.1%
Memory size	331.0 KiB

Quantile statistics

Minimum	0
5-th percentile	534
Q1	644
median	699
Q3	749
95-th percentile	804
Maximum	850
Range	850
Interquartile range (IQR)	105

Descriptive statistics

Standard deviation	80.30934799
Coefficient of variation (CV)	0.1163423677
Kurtosis	1.973712356
Mean	690.2846281
Median Absolute Deviation (MAD)	50
Skewness	-0.7667598074
Sum	29233554
Variance	6449.591374
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
709	1253	3.0%
694	1215	2.9%
719	1200	2.8%
724	1194	2.8%
714	1172	2.8%
704	1165	2.8%
699	1145	2.7%
684	1113	2.6%
689	1076	2.5%
734	1053	2.5%
Other values (62)	30764	72.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	19	< 0.1%
499	754	1.8%
504	210	0.5%
509	186	0.4%
514	210	0.5%
519	212	0.5%
524	224	0.5%
529	201	0.5%
534	222	0.5%
539	234	0.6%

Value	Count	Frequency (%)
850	10	< 0.1%
844	32	0.1%
839	46	0.1%
834	142	0.3%
829	190	0.4%
824	269	0.6%
819	365	0.9%
814	407	1.0%
809	539	1.3%
804	618	1.5%

last_fico_range_low
Real number (ℝ_≥0)

ZEROS

Distinct	71
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	677.4731995
Minimum	0
Maximum	845
Zeros	773
Zeros (%)	1.8%
Memory size	331.0 KiB

Quantile statistics

Minimum	0
5-th percentile	530
Q1	640
median	695
Q3	745
95-th percentile	800
Maximum	845
Range	845
Interquartile range (IQR)	105

Descriptive statistics

Standard deviation	118.7585439
Coefficient of variation (CV)	0.1752962981
Kurtosis	16.73225549
Mean	677.4731995
Median Absolute Deviation (MAD)	50
Skewness	-3.374302809
Sum	28690990
Variance	14103.59175
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
705	1253	3.0%
690	1215	2.9%
715	1200	2.8%
720	1194	2.8%
710	1172	2.8%
700	1165	2.8%
695	1145	2.7%
680	1113	2.6%
685	1076	2.5%
730	1053	2.5%
Other values (61)	30764	72.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	773	1.8%
500	210	0.5%
505	186	0.4%
510	210	0.5%
515	212	0.5%
520	224	0.5%
525	201	0.5%
530	222	0.5%
535	234	0.6%
540	256	0.6%

Value	Count	Frequency (%)
845	10	< 0.1%
840	32	0.1%
835	46	0.1%
830	142	0.3%
825	190	0.4%
820	269	0.6%
815	365	0.9%
810	407	1.0%
805	539	1.3%
800	618	1.5%

acc_now_delinq
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.4 MiB

0.0	42346
1.0	4

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	127050
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	42346	> 99.9%
1.0	4	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	42346	> 99.9%
1.0	4	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	84696	66.7%
.	42350	33.3%
1	4	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	84700	66.7%
Other Punctuation	42350	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	84696	> 99.9%
1	4	< 0.1%

Value	Count	Frequency (%)
.	42350	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	127050	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	84696	66.7%
.	42350	33.3%
1	4	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	127050	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	84696	66.7%
.	42350	33.3%
1	4	< 0.1%

delinq_amnt
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.4 MiB

0.0	42348
27.0	1
6053.0	1

Length

Max length	6
Median length	3
Mean length	3.000094451
Min length	3

Characters and Unicode

Total characters	127054
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	42348	> 99.9%
27.0	1	< 0.1%
6053.0	1	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	42348	> 99.9%
6053.0	1	< 0.1%
27.0	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	84699	66.7%
.	42350	33.3%
2	1	< 0.1%
7	1	< 0.1%
6	1	< 0.1%
5	1	< 0.1%
3	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	84704	66.7%
Other Punctuation	42350	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	84699	> 99.9%
2	1	< 0.1%
7	1	< 0.1%
6	1	< 0.1%
5	1	< 0.1%
3	1	< 0.1%

Value	Count	Frequency (%)
.	42350	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	127054	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	84699	66.7%
.	42350	33.3%
2	1	< 0.1%
7	1	< 0.1%
6	1	< 0.1%
5	1	< 0.1%
3	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	127054	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	84699	66.7%
.	42350	33.3%
2	1	< 0.1%
7	1	< 0.1%
6	1	< 0.1%
5	1	< 0.1%
3	1	< 0.1%

pub_rec_bankruptcies
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.4 MiB

0.0	39175
1.0	1838
0.045227107116832636	1329
2.0	8

Length

Max length	20
Median length	3
Mean length	3.533482881
Min length	3

Characters and Unicode

Total characters	149643
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	39175	92.5%
1.0	1838	4.3%
0.045227107116832636	1329	3.1%
2.0	8	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	39175	92.5%
1.0	1838	4.3%
0.045227107116832636	1329	3.1%
2.0	8	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	84183	56.3%
.	42350	28.3%
1	5825	3.9%
2	3995	2.7%
6	3987	2.7%
7	2658	1.8%
3	2658	1.8%
4	1329	0.9%
5	1329	0.9%
8	1329	0.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	107293	71.7%
Other Punctuation	42350	28.3%

Most frequent character per category

Value	Count	Frequency (%)
0	84183	78.5%
1	5825	5.4%
2	3995	3.7%
6	3987	3.7%
7	2658	2.5%
3	2658	2.5%
4	1329	1.2%
5	1329	1.2%
8	1329	1.2%

Value	Count	Frequency (%)
.	42350	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	149643	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	84183	56.3%
.	42350	28.3%
1	5825	3.9%
2	3995	2.7%
6	3987	2.7%
7	2658	1.8%
3	2658	1.8%
4	1329	0.9%
5	1329	0.9%
8	1329	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	149643	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	84183	56.3%
.	42350	28.3%
1	5825	3.9%
2	3995	2.7%
6	3987	2.7%
7	2658	1.8%
3	2658	1.8%
4	1329	0.9%
5	1329	0.9%
8	1329	0.9%

debt_settlement_flag
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	41.5 KiB

False	42190
True	160

Common Values
Chart

Value	Count	Frequency (%)
False	42190	99.6%
True	160	0.4%

term_new
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.4 MiB

36	31374
60	10976

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	84700
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	36
2nd row	60
3rd row	36
4th row	36
5th row	60

Value	Count	Frequency (%)
36	31374	74.1%
60	10976	25.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
36	31374	74.1%
60	10976	25.9%

Most occurring characters

Value	Count	Frequency (%)
6	42350	50.0%
3	31374	37.0%
0	10976	13.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	84700	100.0%

Most frequent character per category

Value	Count	Frequency (%)
6	42350	50.0%
3	31374	37.0%
0	10976	13.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	84700	100.0%

Most frequent character per script

Value	Count	Frequency (%)
6	42350	50.0%
3	31374	37.0%
0	10976	13.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	84700	100.0%

Most frequent character per block

Value	Count	Frequency (%)
6	42350	50.0%
3	31374	37.0%
0	10976	13.0%

grade_new
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.667910272
Minimum	1
Maximum	7
Zeros	0
Zeros (%)	0.0%
Memory size	331.0 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	2
Q3	4
95-th percentile	5
Maximum	7
Range	6
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.437641687
Coefficient of variation (CV)	0.5388643324
Kurtosis	-0.02850051454
Mean	2.667910272
Median Absolute Deviation (MAD)	1
Skewness	0.7578007769
Sum	112986
Variance	2.066813622
Monotocity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
2	12355	29.2%
1	10163	24.0%
3	8689	20.5%
4	5975	14.1%
5	3369	8.0%
6	1292	3.1%
7	507	1.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	10163	24.0%
2	12355	29.2%
3	8689	20.5%
4	5975	14.1%
5	3369	8.0%
6	1292	3.1%
7	507	1.2%

Value	Count	Frequency (%)
7	507	1.2%
6	1292	3.1%
5	3369	8.0%
4	5975	14.1%
3	8689	20.5%
2	12355	29.2%
1	10163	24.0%

emp_length_new
Real number (ℝ_≥0)

ZEROS

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	5.061180638
Minimum	0
Maximum	10
Zeros	5017
Zeros (%)	11.8%
Memory size	331.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	4
Q3	9
95-th percentile	10
Maximum	10
Range	10
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	3.613099398
Coefficient of variation (CV)	0.7138846954
Kurtosis	-1.413450655
Mean	5.061180638
Median Absolute Deviation (MAD)	3
Skewness	0.16484189
Sum	214341
Variance	13.05448726
Monotocity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
10	10456	24.7%
0	5017	11.8%
2	4728	11.2%
3	4351	10.3%
4	3631	8.6%
1	3571	8.4%
5	3441	8.1%
6	2366	5.6%
7	1870	4.4%
8	1585	3.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	5017	11.8%
1	3571	8.4%
2	4728	11.2%
3	4351	10.3%
4	3631	8.6%
5	3441	8.1%
6	2366	5.6%
7	1870	4.4%
8	1585	3.7%
9	1334	3.1%

Value	Count	Frequency (%)
10	10456	24.7%
9	1334	3.1%
8	1585	3.7%
7	1870	4.4%
6	2366	5.6%
5	3441	8.1%
4	3631	8.6%
3	4351	10.3%
2	4728	11.2%
1	3571	8.4%

home_ownership_new
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

1	20060
2	18917
3	3235
4	134
5	4

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	42350
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Value	Count	Frequency (%)
1	20060	47.4%
2	18917	44.7%
3	3235	7.6%
4	134	0.3%
5	4	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
1	20060	47.4%
2	18917	44.7%
3	3235	7.6%
4	134	0.3%
5	4	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
1	20060	47.4%
2	18917	44.7%
3	3235	7.6%
4	134	0.3%
5	4	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	42350	100.0%

Most frequent character per category

Value	Count	Frequency (%)
1	20060	47.4%
2	18917	44.7%
3	3235	7.6%
4	134	0.3%
5	4	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	42350	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	20060	47.4%
2	18917	44.7%
3	3235	7.6%
4	134	0.3%
5	4	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	42350	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	20060	47.4%
2	18917	44.7%
3	3235	7.6%
4	134	0.3%
5	4	< 0.1%

verification_status_new
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

0	18640
1	13434
2	10276

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	42350
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	2
3rd row	0
4th row	2
5th row	2

Value	Count	Frequency (%)
0	18640	44.0%
1	13434	31.7%
2	10276	24.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	18640	44.0%
1	13434	31.7%
2	10276	24.3%

Most occurring characters

Value	Count	Frequency (%)
0	18640	44.0%
1	13434	31.7%
2	10276	24.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	42350	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	18640	44.0%
1	13434	31.7%
2	10276	24.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	42350	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	18640	44.0%
1	13434	31.7%
2	10276	24.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	42350	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	18640	44.0%
1	13434	31.7%
2	10276	24.3%

loan_status_new
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

1	36024
0	6326

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	42350
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	1
5th row	1

Value	Count	Frequency (%)
1	36024	85.1%
0	6326	14.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
1	36024	85.1%
0	6326	14.9%

Most occurring characters

Value	Count	Frequency (%)
1	36024	85.1%
0	6326	14.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	42350	100.0%

Most frequent character per category

Value	Count	Frequency (%)
1	36024	85.1%
0	6326	14.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	42350	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	36024	85.1%
0	6326	14.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	42350	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	36024	85.1%
0	6326	14.9%

int_rate_new
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	394
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.1215869705
Minimum	0.0542
Maximum	0.2459
Zeros	0
Zeros (%)	0.0%
Memory size	331.0 KiB

Quantile statistics

Minimum	0.0542
5-th percentile	0.0654
Q1	0.0962
median	0.1199
Q3	0.1472
95-th percentile	0.1862
Maximum	0.2459
Range	0.1917
Interquartile range (IQR)	0.051

Descriptive statistics

Standard deviation	0.03707854681
Coefficient of variation (CV)	0.3049549361
Kurtosis	-0.4740132898
Mean	0.1215869705
Median Absolute Deviation (MAD)	0.0266
Skewness	0.240278209
Sum	5149.2082
Variance	0.001374818634
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.1099	970	2.3%
0.1149	831	2.0%
0.1349	830	2.0%
0.0751	786	1.9%
0.0788	742	1.8%
0.0749	656	1.5%
0.1171	609	1.4%
0.0999	607	1.4%
0.079	582	1.4%
0.0542	573	1.4%
Other values (384)	35164	83.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.0542	573	1.4%
0.0579	410	1.0%
0.0599	346	0.8%
0.06	19	< 0.1%
0.0603	447	1.1%
0.0617	252	0.6%
0.0639	58	0.1%
0.0654	307	0.7%
0.0662	396	0.9%
0.0676	168	0.4%

Value	Count	Frequency (%)
0.2459	1	< 0.1%
0.244	1	< 0.1%
0.2411	3	< 0.1%
0.2391	11	< 0.1%
0.2359	4	< 0.1%
0.2352	9	< 0.1%
0.2322	9	< 0.1%
0.2313	9	< 0.1%
0.2294	2	< 0.1%
0.2285	8	< 0.1%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	Unnamed: 0	loan_amnt	funded_amnt	funded_amnt_inv	term	int_rate	installment	grade	sub_grade	emp_title	emp_length	home_ownership	annual_inc	verification_status	issue_d	loan_status	desc	purpose	title	zip_code	addr_state	dti	earliest_cr_line	fico_range_low	fico_range_high	inq_last_6mths	open_acc	revol_bal	revol_util	total_acc	total_pymnt	total_pymnt_inv	total_rec_prncp	total_rec_int	total_rec_late_fee	recoveries	collection_recovery_fee	last_pymnt_d	last_pymnt_amnt	last_credit_pull_d	last_fico_range_high	last_fico_range_low	debt_settlement_flag	term_new	grade_new	emp_length_new	home_ownership_new	verification_status_new	loan_status_new	int_rate_new
0	0	5000.0	5000.0	4975.0	36 months	10.65%	162.87	B	B2	US Army	10+ years	RENT	24000.0	Verified	Dec-2011	Fully Paid	Borrower added on 12/22/11 > I need to upgrade my business technologies.<br>	credit_card	Computer	860xx	AZ	27.65	Jan-1985	735.0	739.0	1.0	3.0	13648.0	83.7%	9.0	5863.155187	5833.84	5000.00	863.16	0.00	0.00	0.00	Jan-2015	171.62	Aug-2018	739.0	735.0	N	36	2	10	1	1	1	0.1065
1	1	2500.0	2500.0	2500.0	60 months	15.27%	59.83	C	C4	Ryder	< 1 year	RENT	30000.0	Source Verified	Dec-2011	Charged Off	Borrower added on 12/22/11 > I plan to use this money to finance the motorcycle i am looking at. I plan to have it paid off as soon as possible/when i sell my old bike. I only need this money because the deal im looking at is to good to pass up.<br><br> Borrower added on 12/22/11 > I plan to use this money to finance the motorcycle i am looking at. I plan to have it paid off as soon as possible/when i sell my old bike.I only need this money because the deal im looking at is to good to pass up. I have finished college with an associates degree in business and its takingmeplaces<br>	car	bike	309xx	GA	1.00	Apr-1999	740.0	744.0	5.0	3.0	1687.0	9.4%	4.0	1014.530000	1014.53	456.46	435.17	0.00	122.90	1.11	Apr-2013	119.66	Oct-2016	499.0	0.0	N	60	3	0	1	2	0	0.1527
2	2	2400.0	2400.0	2400.0	36 months	15.96%	84.33	C	C5	US Army	10+ years	RENT	12252.0	Not Verified	Dec-2011	Fully Paid		small_business	real estate business	606xx	IL	8.72	Nov-2001	735.0	739.0	2.0	2.0	2956.0	98.5%	10.0	3005.666844	3005.67	2400.00	605.67	0.00	0.00	0.00	Jun-2014	649.91	Jun-2017	739.0	735.0	N	36	3	10	1	0	1	0.1596
3	3	10000.0	10000.0	10000.0	36 months	13.49%	339.31	C	C1	AIR RESOURCES BOARD	10+ years	RENT	49200.0	Source Verified	Dec-2011	Fully Paid	Borrower added on 12/21/11 > to pay for property tax (borrow from friend, need to pay back) & central A/C need to be replace. I'm very sorry to let my loan expired last time.<br>	other	personel	917xx	CA	20.00	Feb-1996	690.0	694.0	1.0	10.0	5598.0	21%	37.0	12231.890000	12231.89	10000.00	2214.92	16.97	0.00	0.00	Jan-2015	357.48	Apr-2016	604.0	600.0	N	36	3	10	1	2	1	0.1349
4	4	3000.0	3000.0	3000.0	60 months	12.69%	67.79	B	B5	University Medical Group	1 year	RENT	80000.0	Source Verified	Dec-2011	Fully Paid	Borrower added on 12/21/11 > I plan on combining three large interest bills together and freeing up some extra each month to pay toward other bills. I've always been a good payor but have found myself needing to make adjustments to my budget due to a medical scare. My job is very stable, I love it.<br>	other	Personal	972xx	OR	17.94	Jan-1996	695.0	699.0	0.0	15.0	27783.0	53.9%	38.0	4066.908161	4066.91	3000.00	1066.91	0.00	0.00	0.00	Jan-2017	67.30	Apr-2018	684.0	680.0	N	60	2	1	1	2	1	0.1269
5	5	5000.0	5000.0	5000.0	36 months	7.90%	156.46	A	A4	Veolia Transportaton	3 years	RENT	36000.0	Source Verified	Dec-2011	Fully Paid		wedding	My wedding loan I promise to pay back	852xx	AZ	11.20	Nov-2004	730.0	734.0	3.0	9.0	7963.0	28.3%	12.0	5632.210000	5632.21	5000.00	632.21	0.00	0.00	0.00	Jan-2015	161.03	Feb-2017	564.0	560.0	N	36	1	3	1	2	1	0.0790
6	6	7000.0	7000.0	7000.0	60 months	15.96%	170.08	C	C5	Southern Star Photography	8 years	RENT	47004.0	Not Verified	Dec-2011	Fully Paid	Borrower added on 12/18/11 > I am planning on using the funds to pay off two retail credit cards with 24.99% interest rates, as well as a major bank credit card with a 18.99% rate. I pay all my bills on time, looking for a lower combined payment and lower monthly payment.<br>	debt_consolidation	Loan	280xx	NC	23.51	Jul-2005	690.0	694.0	1.0	7.0	17726.0	85.6%	11.0	10137.840008	10137.84	7000.00	3137.84	0.00	0.00	0.00	May-2016	1313.76	Sep-2016	654.0	650.0	N	60	3	8	1	0	1	0.1596
7	7	3000.0	3000.0	3000.0	36 months	18.64%	109.43	E	E1	MKC Accounting	9 years	RENT	48000.0	Source Verified	Dec-2011	Fully Paid	Borrower added on 12/16/11 > Downpayment for a car.<br>	car	Car Downpayment	900xx	CA	5.35	Jan-2007	660.0	664.0	2.0	4.0	8221.0	87.5%	4.0	3939.135294	3939.14	3000.00	939.14	0.00	0.00	0.00	Jan-2015	111.34	Dec-2014	689.0	685.0	N	36	5	9	1	2	1	0.1864
8	8	5600.0	5600.0	5600.0	60 months	21.28%	152.39	F	F2	US Army	4 years	OWN	40000.0	Source Verified	Dec-2011	Charged Off	Borrower added on 12/21/11 > I own a small home-based judgment collection business. I have 5 years experience collecting debts. I am now going from a home office to a small office. I also plan to buy a small debt portfolio (eg. $10K for $1M of debt) <br>My score is not A+ because I own my home and have no mortgage.<br>	small_business	Expand Business & Buy Debt Portfolio	958xx	CA	5.55	Apr-2004	675.0	679.0	2.0	11.0	5210.0	32.6%	13.0	647.500000	647.50	162.02	294.94	0.00	190.54	2.09	Apr-2012	152.39	Oct-2016	499.0	0.0	N	60	6	4	3	2	0	0.2128
9	9	5375.0	5375.0	5350.0	60 months	12.69%	121.45	B	B5	Starbucks	< 1 year	RENT	15000.0	Verified	Dec-2011	Charged Off	Borrower added on 12/16/11 > I'm trying to build up my credit history. I live with my brother and have no car payment or credit cards. I am in community college and work full time. Im going to use the money to make some repairs around the house and get some maintenance done on my car.<br><br> Borrower added on 12/20/11 > $1000 down only $4375 to go. Thanks to everyone that invested so far, looking forward to surprising my brother with the fixes around the house.<br>	other	Building my credit history.	774xx	TX	18.08	Sep-2004	725.0	729.0	0.0	2.0	9279.0	36.5%	3.0	1484.590000	1477.70	673.48	533.42	0.00	277.69	2.52	Nov-2012	121.45	Dec-2016	504.0	500.0	N	60	2	0	1	1	0	0.1269

Last rows

	Unnamed: 0	loan_amnt	funded_amnt	funded_amnt_inv	term	int_rate	installment	grade	sub_grade	emp_title	emp_length	home_ownership	annual_inc	verification_status	issue_d	loan_status	desc	purpose	title	zip_code	addr_state	dti	delinq_2yrs	earliest_cr_line	fico_range_low	fico_range_high	inq_last_6mths	open_acc	pub_rec	revol_bal	revol_util	total_acc	total_pymnt	total_pymnt_inv	total_rec_prncp	total_rec_int	total_rec_late_fee	recoveries	collection_recovery_fee	last_pymnt_d	last_pymnt_amnt	last_credit_pull_d	last_fico_range_high	last_fico_range_low	pub_rec_bankruptcies	debt_settlement_flag	term_new	grade_new	emp_length_new	home_ownership_new	loan_status_new	int_rate_new
42340	42503	10500.0	4000.0	1150.0	36 months	16.91%	142.43	G	G2	VUTEC, CORP	4 years	RENT	68000.0	Not Verified	Jul-2007	Does not meet the credit policy. Status:Fully Paid	i need refi and consolidate my debts	credit_card	refi	333xx	FL	19.62	1.0	Dec-2001	655.0	659.0	3.0	7.0	0.0	1943.0	25.6%	11.0	5127.540196	1474.20	4000.00	1127.54	0.00	0.00	0.00	Jul-2010	143.43	Jul-2010	499.0	0.0	0.045227	N	36	7	4	1	1	0.1691
42341	42504	10000.0	10000.0	1450.0	36 months	10.59%	325.46	C	C2	US Army	2 years	MORTGAGE	55000.0	Not Verified	Jul-2007	Does not meet the credit policy. Status:Fully Paid	After playing the balance transfer game for a few years, I would like to obtain a structured loan with a decent interest rate to pay down credit card debt.	credit_card	Tired Of Balance Transfer Game	820xx	WY	17.96	0.0	Oct-1998	725.0	729.0	5.0	11.0	0.0	6559.0	24.8%	45.0	10717.456668	1554.03	10000.00	717.46	0.00	0.00	0.00	Apr-2008	8114.58	Apr-2016	809.0	805.0	0.045227	N	36	3	2	2	1	0.1059
42342	42505	20000.0	20000.0	700.0	36 months	15.01%	693.45	F	F1	hf palm corp	2 years	OWN	80000.0	Not Verified	Jul-2007	Does not meet the credit policy. Status:Charged Off	refinancing	credit_card	lending	333xx	FL	3.11	1.0	Sep-1997	670.0	674.0	6.0	5.0	0.0	7883.0	59.3%	6.0	8294.140000	289.82	5191.34	2435.47	0.00	667.33	6.68	Jun-2008	693.44	Jan-2009	504.0	500.0	0.045227	N	36	6	2	3	0	0.1501
42343	42506	6725.0	6725.0	825.0	36 months	13.12%	226.98	D	D5	MCHCP	10+ years	MORTGAGE	60000.0	Not Verified	Jul-2007	Does not meet the credit policy. Status:Charged Off	I am wanting to consolidate debt so that I only have one payment to make. I work full time, plus own a small side business. I can make the payments for everything currently, but would like to have one payment and make it simpler.	debt_consolidation	Debt Consolidation	651xx	MO	13.16	0.0	May-1991	670.0	674.0	9.0	10.0	1.0	5513.0	88.9%	32.0	4211.030000	515.67	3039.64	1171.30	0.00	0.09	0.00	Apr-2009	42.11	Aug-2018	564.0	560.0	0.045227	N	36	4	10	2	0	0.1312
42344	42507	2000.0	2000.0	1025.0	36 months	12.80%	67.20	D	D4	Signs by Tomorrow	< 1 year	OWN	10000.0	Not Verified	Jul-2007	Does not meet the credit policy. Status:Fully Paid	Reorganizing my finances, consolidating credit card debt in order to lower my total expenses and eventually get rid of a couple of my credit cards	credit_card	Financial reorganization	280xx	NC	3.48	1.0	Apr-2004	645.0	649.0	0.0	2.0	0.0	571.0	61.9%	4.0	2419.121043	1239.80	2000.00	419.12	0.00	0.00	0.00	Jul-2010	68.31	Aug-2018	719.0	715.0	0.045227	N	36	4	0	3	1	0.1280
42345	42508	6000.0	6000.0	1200.0	36 months	13.12%	202.51	D	D5	SUNY- ESF	2 years	RENT	12000.0	Not Verified	Jul-2007	Does not meet the credit policy. Status:Fully Paid		credit_card	Credit Card	132xx	NY	4.40	0.0	Dec-2004	655.0	659.0	9.0	15.0	0.0	5251.0	49.3%	16.0	7290.237811	1458.05	6000.00	1290.24	0.00	0.00	0.00	Jul-2010	204.65	Sep-2012	664.0	660.0	0.045227	N	36	4	2	1	1	0.1312
42346	42511	10000.0	10000.0	350.0	36 months	14.70%	345.18	E	E5	GA-PCOM	1 year	RENT	50000.0	Not Verified	Jul-2007	Does not meet the credit policy. Status:Fully Paid		educational	paying for medical school help	300xx	GA	7.22	2.0	Sep-1999	650.0	654.0	0.0	14.0	0.0	10025.0	85%	20.0	12622.317947	441.78	10000.00	2570.54	51.78	0.00	0.00	Aug-2010	1605.65	Aug-2010	499.0	0.0	0.045227	N	36	5	1	1	1	0.1470
42347	42512	2000.0	2000.0	1275.0	36 months	7.12%	61.87	A	A1	Tzigane Inc	7 years	MORTGAGE	150000.0	Not Verified	Jul-2007	Does not meet the credit policy. Status:Fully Paid		debt_consolidation	Miscellanious	068xx	CT	5.60	0.0	Mar-1984	800.0	804.0	0.0	7.0	0.0	150786.0	2.2%	16.0	2227.023184	1419.73	2000.00	227.02	0.00	0.00	0.00	Jul-2010	63.59	Jun-2010	809.0	805.0	0.045227	N	36	1	7	2	1	0.0712
42348	42513	6000.0	6000.0	650.0	36 months	10.59%	195.28	C	C2	Yale University	< 1 year	RENT	20000.0	Not Verified	Jun-2007	Does not meet the credit policy. Status:Fully Paid	Hi, I am a graduate student working full-time to repay credit card loans incurred for living expenses. A $5000 loan would allow me to consolidate my debt into one fixed monthly rate.	debt_consolidation	Debt consolidation	065xx	CT	12.90	0.0	Jan-1996	695.0	699.0	4.0	5.0	0.0	13660.0	66%	6.0	7029.871272	761.57	6000.00	1029.87	0.00	0.00	0.00	Jun-2010	197.36	Oct-2014	769.0	765.0	0.045227	N	36	3	0	1	1	0.1059
42349	42514	4400.0	4400.0	1400.0	36 months	9.64%	141.25	B	B4	Brick Township board of education	2 years	MORTGAGE	30000.0	Not Verified	Jun-2007	Does not meet the credit policy. Status:Fully Paid		debt_consolidation	VISA	087xx	NJ	3.72	0.0	Jul-2004	695.0	699.0	0.0	4.0	0.0	3493.0	63.5%	5.0	5084.724868	1617.87	4400.00	684.72	0.00	0.00	0.00	Jun-2010	143.28	May-2018	549.0	545.0	0.045227	N	36	2	2	2	1	0.0964

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